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Combinatorics of Total Positivity: Amplituhedra and Braid Varieties

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

The answers to real world problems, such as determining the behavior of particles in particle accelerators, are often quite complicated. Mathematics abstracts these complicated behaviors, and often reveals hidden structures; abstraction allows one to see the forest rather than the trees. For example, physicists Arkhani-Hamed and Trnka uncovered a high-dimensional mathematical object called the "amplituhedron" whose geometry should govern particle scattering. However, as abstraction increases, intuition decreases; it is easy to lose sight of the trees among the clouds. Algebraic combinatorics, as a mathematical discipline, is a tool to represent abstract mathematics in a more concrete way--similar to how a bar graph or scatter plot is a tool to represent a long list of numbers in a more intuitive way. In the case of the amplituhedron, combinatorics provides a way to break the amplituhedron up into smaller, simpler pieces. It also provides a way to visualize each piece, even though the pieces do not fit in three dimensions. It is through this combinatorics that the conjectural relationship between the amplituhedron and particle scattering is most apparent. In one project the PI will work to prove this conjectural relationship with collaborators Even-Zohar, Lakrec, Parisi, Tessler, and Williams. In general, the PI will seek to better understand the combinatorics of amplituhedra and related mathematical objects called cluster varieties. The PI will involve both undergraduate and graduate students in thisd research.<br/><br/>The broader mathematical context for the proposed projects is the theory of total positivity. Classically, a matrix is totally positive if all minors are positive. Lusztig extended the notion of total positivity to partial flag varieties, while Postnikov independently defined the positive Grassmannian. The combinatorics of total positivity is incredibly rich, leading to the definition of cluster algebras by Fomin and Zelevinsky. The PI proposes to study two generalizations of total positivity through a combinatorial lens. The first project concerns amplituhedra, which generalize the positive Grassmannian and arise in particle physics. The PI will work to resolve conjectures on the relationship between tilings of m=4 amplituhedra and the computation of scattering amplitudes, as well as various conjectures on tilings of m=2 amplituhedra. The second project concerns cluster structures on braid varieties, which generalize positive partial flag varieties. The PI will further develop the combinatorics of this cluster structure, investigating 3D plabic graphs and their relationship to weaves, and explore applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/12/2024

08/12/2024

None

Grant

47.049

1

4900

4900

2444020

{'FirstName': 'Melissa', 'LastName': 'Sherman-Bennett', 'PI_MID_INIT': 'U', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa U Sherman-Bennett', 'EmailAddress': 'msherben@mit.edu', 'NSF_ID': '000837922', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Davis', 'CityName': 'Davis', 'StateCode': 'CA', 'ZipCode': '956165270', 'StreetAddress': 'One Shields Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'CA04'}

{'Code': '797000', 'Text': 'Combinatorics'}

2024~180000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444020.xml'}

RAPID: Assessing the Morphologic Impacts of Sequential Tropical Cyclones on Texas Barrier Islands

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Justin Lawrence', 'PO_EMAI': 'jlawrenc@nsf.gov', 'PO_PHON': '7032922425'}

This RAPID project is a field campaign to capture post-storm observations in three morphologically-distinct locations to better characterize storm-induced erosion and deposition across barrier islands from sequential storms. The investigators will leverage and complement a pre-storm dataset, which was collected one week prior to Tropical Storm Alberto along the central Texas Coast. Hurricane Beryl, the earliest Atlantic Basin Category 5 storm in recorded history, made landfall in Texas as a Category 1 cyclone, approximately two weeks after Tropical Storm Alberto. The pre-storm data presents a unique opportunity to tightly constrain the morphologic change due to two sequential, low-intensity tropical cycles. These morphologic changes leave critical signatures in the sedimentary record, which can be easily reworked by natural and anthropogenic disturbances. Therefore, rapid deployment and data collection are necessary to accurately capture and quantify sequential event forcings needed to improve morphodynamic and storm wave and surge models. The project provides research and training opportunities to women and underrepresented minorities in STEM and fosters partnerships between academia and industry.<br/><br/>Field-based observations of coastal sedimentology and morphologic change during sequential storms will advance knowledge and predictive abilities by: 1) utilizing bedforms and sedimentary structures to constrain flow velocities, direction, transport stage, and duration of inundation; 2) evaluating compound change from sequential, low-intensity storm events; 3) providing calibration and validation data for morphodynamic and hydrodynamic models; and 4) developing volumetric assessments of coastal sediment transport which are necessary to calculate regional sediment budgets and assess coastal resilience.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/30/2024

07/30/2024

None

Grant

47.050

1

4900

4900

2444043

{'FirstName': 'Kathleen', 'LastName': 'Wilson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kathleen Wilson', 'EmailAddress': 'kathleen.wilson@bc.edu', 'NSF_ID': '0000A0LJW', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Boston College', 'CityName': 'CHESTNUT HILL', 'ZipCode': '024673800', 'PhoneNumber': '6175528000', 'StreetAddress': '140 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MA04', 'ORG_UEI_NUM': 'MJ3JH8CRJBZ7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston College', 'CityName': 'CHESTNUT HILL', 'StateCode': 'MA', 'ZipCode': '024673800', 'StreetAddress': '140 COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MA04'}

[{'Code': '722200', 'Text': 'XC-Crosscutting Activities Pro'}, {'Code': '745800', 'Text': 'Geomorphology & Land-use Dynam'}]

2024~49999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444043.xml'}

SCH: INT: Collaborative Research: Privacy-Preserving Federated Transfer Learning for Early Acute Kidney Injury Risk Prediction

NSF

10/01/2023

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Sylvia Spengler', 'PO_EMAI': 'sspengle@nsf.gov', 'PO_PHON': '7032927347'}

Federated learning enables hospitals to collaboratively learn a shared global model while ensuring patient privacy; however, there is a big statistical challenge for our application owing to EHR heterogeneities, i.e. difference in patient characteristics and clinical observations made or feature space. Thus, real-world EHR data from different hospitals are never independently and identically distributed (IID). The proposed research is to overcome this statistical challenge while improving security for federated learning by<br/>leveraging a large integrated EHR dataset with medical records for more than 21 million patients from 12 healthcare systems spanning across 9 US states. A novel privacy-preserving federated transfer learning framework is proposed for building a robust and accurate AKI prediction model that require learning on real-world EHR data from siloed healthcare systems. This project will (1) develop novel transfer learning solutions to address three distinct non-IID EHR data analytic scenarios, (2) develop a novel federated learning framework with a dynamic weighting aggregation mechanism to build a robust and accurate Acute kidney injury (AKI) prediction model; and (3) develop a comprehensive privacy-preserving federated transfer learning framework with novel privacy-preserving solutions to address the unique privacy challenges in the proposed transfer learning applications.<br/><br/><br/>The project proposes new transfer learning solutions to combat the non-IID challenge in federated learning and new security building blocks tailored for homogeneous and heterogeneous transfer learning tasks. Together the project will develop a privacy-preserving federated transfer learning framework to provide a first practical solution for non-IID clinical data scenarios. Our research methods and findings will provide promising new directions to machine learning for healthcare and will contribute to both academic research and potential commercialized products. More importantly, the interpretable nature of the base gradient boosting machine model in the proposed federated transfer learning framework will provide better understanding of the predictors from which clinicians can use to design prevention and management strategies for high-risk patients.<br/>This project is jointly funded by Smart and Connected Health and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/27/2024

07/27/2024

None

Grant

47.070

1

4900

4900

2444044

{'FirstName': 'Mei', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mei Liu', 'EmailAddress': 'mei.liu@ufl.edu', 'NSF_ID': '000644769', 'StartDate': '07/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'ZipCode': '326111941', 'PhoneNumber': '3523923516', 'StreetAddress': '1523 UNION RD RM 207', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'FL03', 'ORG_UEI_NUM': 'NNFQH1JAPEP3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF FLORIDA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'StateCode': 'FL', 'ZipCode': '326111941', 'StreetAddress': '1523 UNION RD RM 207', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'FL03'}

{'Code': '801800', 'Text': 'Smart and Connected Health'}

2020~415235

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444044.xml'}

Conference: US-FAPESP Cybersecurity and Privacy Workshop

NSF

10/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Xiaogang (Cliff) Wang', 'PO_EMAI': 'xiawang@nsf.gov', 'PO_PHON': '7032922812'}

Technical and scientific engagement and collaborations between the United States and Brazil are of great value and importance for the US and the scientific community at large. This is particularly true in the areas of cybersecurity and privacy where both countries share a long and strong history of remarkable scientific research and innovation. The proposed workshop, designed and developed in close coordination with a counter-part collaborator in Brazil will help create an opportunity and an environment to facilitate a collaborative new research initiative between the US and Brazilian academic research communities. Working in close coordination and in collaboration with the Universidade Estadual de Campinas (UNICAMP), we have identified a broad and diverse group of academic researchers from across the US, as well as a corresponding group of researchers from the State of Sao Paulo in Brazil with common research interests and expertise. The proposed workshop will take place in Brazil in March 2025, and it will include keynote presentations, breakout discussion groups, and short presentations from participants from each Country. The event will create an opportunity for knowledge exchange and for the establishment of new collaborative research initiates to be pursued by the multinational team.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/08/2024

08/08/2024

None

Grant

47.070

1

4900

4900

2444077

{'FirstName': 'Marco', 'LastName': 'Carvalho', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marco M Carvalho', 'EmailAddress': 'mcarvalho@fit.edu', 'NSF_ID': '000711078', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Florida Institute of Technology', 'CityName': 'MELBOURNE', 'ZipCode': '329018995', 'PhoneNumber': '3216748000', 'StreetAddress': '150 W UNIVERSITY BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'FL08', 'ORG_UEI_NUM': 'WNN6VH618X58', 'ORG_LGL_BUS_NAME': 'FLORIDA INSTITUTE OF TECHNOLOGY INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Florida Institute of Technology', 'CityName': 'MELBOURNE', 'StateCode': 'FL', 'ZipCode': '329018995', 'StreetAddress': '150 W UNIVERSITY BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'FL08'}

{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}

2024~99943

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444077.xml'}

Collaborative Research: Build and Broaden 2.0: California Alliance for Hispanic-serving Social Science Advancement (CAHSSA)

NSF

07/15/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}

{'SignBlockName': 'Lee Walker', 'PO_EMAI': 'lwalker@nsf.gov', 'PO_PHON': '7032927174'}

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). <br/><br/>The California Alliance for Hispanic-Serving Social Science Advancement (CAHSSA) builds and broadens the low participation of social science faculty in extramurally funded research with an examination of systemic barriers and comprehensive professional development programming and policies. The partnership between three California universities will serve 28 Hispanic-Serving Institutions (HSIs) of various sizes and representing unique regional factors in the California State University (CSU) and the University of California (UC) systems. The outcomes of this project will serve as a model to advance research in wide-ranging disciplines that impact the health, prosperity, and welfare of the US public. CAHSSA implements a comparative content analysis of NSF social science proposal review comments at HSIs and non-HSIs to identify how social, behavioral, and economic research is constructed and practiced across institutional types as well as reveal any existing biases in the review process. Results will inform the project's interventions that include virtual grant writing webinars and workshops, writing groups, intensive writing retreats, and social science leader seminars for more than 700 CSU and UC social sciences faculty and leaders. <br/><br/>The California Alliance for Hispanic-Serving Social Science Advancement (CAHSSA) will pursue a greater understanding of the challenges faced by social scientists at Hispanic-Serving Institutions (HSIs) and Minority-Serving Institutions (MSIs) in the extramural funding process at the micro-level within varied campus types and at the macro-level through the examination of NSF reviewer perceptions of social science proposals. From a pool of nearly 4500, the PIs recruit more than 700 social sciences researchers and leaders from 22 California State University (CSU) HSI campuses and six University of California (UC) HSI campuses to participate in virtual webinars and workshops (N=500 researchers), writing groups (N=160 researchers), writing retreats (N=60 researchers), and seminars (N=100 leaders). Methods include CSU and UC annual systemwide surveys, pre- and post-intervention participant evaluation surveys, focus group interviews, and content analysis of grant reviewer comments on 500 proposals over the prior ten years. The results of this project will serve as a national model for advancing a new dialogue on faculty professional development and the science of broadening participation by studying institutional factors that shape social science grant success at HSIs/MSIs. The interventions will produce innovative grant proposals to enhance research in the social sciences as well as the revision of policies and procedures to strengthen practices that support social sciences grant and research activity at HSIs/MSIs.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.075

1

4900

4900

2444087

{'FirstName': 'William', 'LastName': 'Wagner', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': 'III', 'PI_FULL_NAME': 'William E Wagner', 'EmailAddress': 'wwagner@csudh.edu', 'NSF_ID': '000851204', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California State University-Dominguez Hills Foundation', 'CityName': 'CARSON', 'ZipCode': '907470001', 'PhoneNumber': '3102432852', 'StreetAddress': '1000 E VICTORIA ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '44', 'CONGRESS_DISTRICT_ORG': 'CA44', 'ORG_UEI_NUM': 'MWEPWP3T6XL5', 'ORG_LGL_BUS_NAME': 'CALIFORNIA STATE UNIVERSITY, DOMINGUEZ HILLS FOUNDATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California State University-Dominguez Hills Foundation', 'CityName': 'CARSON', 'StateCode': 'CA', 'ZipCode': '907470001', 'StreetAddress': '1000 E VICTORIA ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '44', 'CONGRESS_DISTRICT_PERF': 'CA44'}

{'Code': '146Y00', 'Text': 'Build and Broaden'}

2021~131614

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444087.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Narcrisha Norman', 'PO_EMAI': 'nnorman@nsf.gov', 'PO_PHON': '7032927965'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.076

1

4900

4900

2444104

{'FirstName': 'Rodrigo', 'LastName': 'Renteria-Valencia', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rodrigo F Renteria-Valencia', 'EmailAddress': 'rodrigo@email.arizona.edu', 'NSF_ID': '000569231', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Central Washington University', 'CityName': 'ELLENSBURG', 'ZipCode': '989267500', 'PhoneNumber': '5099632118', 'StreetAddress': '400 E UNIVERSITY WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'WA08', 'ORG_UEI_NUM': 'SESUYWJGE3Y3', 'ORG_LGL_BUS_NAME': 'CENTRAL WASHINGTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Central Washington University', 'CityName': 'ELLENSBURG', 'StateCode': 'WA', 'ZipCode': '989267500', 'StreetAddress': '400 E UNIVERSITY WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'WA08'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444104.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444105

{'FirstName': 'Mallela', 'LastName': 'Prasada Rao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mallela Prasada Rao', 'EmailAddress': 'mprasadarao@fullerton.edu', 'NSF_ID': '000344672', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'CSU Fullerton Auxiliary Services Corporation', 'CityName': 'FULLERTON', 'ZipCode': '928313014', 'PhoneNumber': '6572782106', 'StreetAddress': '1121 N STATE COLLEGE BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '45', 'CONGRESS_DISTRICT_ORG': 'CA45', 'ORG_UEI_NUM': 'VQ5WK498QDC6', 'ORG_LGL_BUS_NAME': 'CSU FULLERTON AUXILIARY SERVICES CORPORATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'CSU Fullerton Auxiliary Services Corporation', 'CityName': 'FULLERTON', 'StateCode': 'CA', 'ZipCode': '928313014', 'StreetAddress': '1121 N STATE COLLEGE BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '45', 'CONGRESS_DISTRICT_PERF': 'CA45'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~152000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444105.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.076

1

4900

4900

2444106

{'FirstName': 'Lisa', 'LastName': 'Armistead', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lisa Armistead', 'EmailAddress': 'lparmistead@gsu.edu', 'NSF_ID': '000872687', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia State University Research Foundation, Inc.', 'CityName': 'ATLANTA', 'ZipCode': '303032921', 'PhoneNumber': '4044133570', 'StreetAddress': '58 EDGEWOOD AVE NE', 'StreetAddress2': 'FL 3', 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'MNS7B9CVKDN7', 'ORG_LGL_BUS_NAME': 'GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Georgia State University Research Foundation, Inc.', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303032921', 'StreetAddress': '58 EDGEWOOD AVE NE FL 3', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~318000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444106.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444107

{'FirstName': 'Lisa', 'LastName': 'Schreyer', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lisa M Schreyer', 'EmailAddress': 'schreyer@princeton.edu', 'NSF_ID': '000917434', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'StateCode': 'NJ', 'ZipCode': '085442001', 'StreetAddress': '1 NASSAU HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NJ12'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~6437410

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444107.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444108

{'FirstName': 'Eric', 'LastName': 'Barker', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric L Barker', 'EmailAddress': 'barkerel@purdue.edu', 'NSF_ID': '000945272', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}

{'Name': 'Purdue University', 'CityName': 'West Lafayette', 'StateCode': 'IN', 'ZipCode': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~1368166

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444108.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2444109

{'FirstName': 'Philippe', 'LastName': 'Vidon', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Philippe G Vidon', 'EmailAddress': 'philippe.vidon@dri.edu', 'NSF_ID': '000294399', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY College of Environmental Science and Forestry', 'CityName': 'SYRACUSE', 'ZipCode': '132102712', 'PhoneNumber': '3154706606', 'StreetAddress': '1 FORESTRY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_ORG': 'NY22', 'ORG_UEI_NUM': 'LVVEB3CF8MB8', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SUNY College of Environmental Science and Forestry', 'CityName': 'SYRACUSE', 'StateCode': 'NY', 'ZipCode': '132102712', 'StreetAddress': '1 FORESTRY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~159000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444109.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444110

{'FirstName': 'Susan', 'LastName': 'Ettner', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Susan L Ettner', 'EmailAddress': 'settner@grad.ucla.edu', 'NSF_ID': '000834251', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'ZipCode': '900244200', 'PhoneNumber': '3107940102', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'CA36', 'ORG_UEI_NUM': 'RN64EPNH8JC6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, LOS ANGELES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900244200', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'CA36'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~5317576

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444110.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444111

{'FirstName': 'Louis', 'LastName': 'Rossi', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Louis F Rossi', 'EmailAddress': 'rossi@udel.edu', 'NSF_ID': '000689931', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'ZipCode': '197160099', 'PhoneNumber': '3028312136', 'StreetAddress': '220 HULLIHEN HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Delaware', 'StateCode': 'DE', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DE00', 'ORG_UEI_NUM': 'T72NHKM259N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DELAWARE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'StateCode': 'DE', 'ZipCode': '197160099', 'StreetAddress': '220 HULLIHEN HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Delaware', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DE00'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~1287999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444111.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444112

{'FirstName': 'Charles', 'LastName': 'Christie-Mizell', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Charles A Christie-Mizell', 'EmailAddress': 'andre.christie-mizell@vanderbilt.edu', 'NSF_ID': '000853110', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'ZipCode': '372032416', 'PhoneNumber': '6153222631', 'StreetAddress': '110 21ST AVE S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'TN05', 'ORG_UEI_NUM': 'GTNBNWXJ12D5', 'ORG_LGL_BUS_NAME': 'VANDERBILT UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Vanderbilt University', 'CityName': 'South Nashville', 'StateCode': 'TN', 'ZipCode': '372032416', 'StreetAddress': '110 21ST AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'TN05'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~3331292

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444112.xml'}

CAREER: Synthesis of Feedback-based Online Algorithms for Power Grids

NSF

07/01/2024

01/31/2025

{'Value': 'Continuing Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Aranya Chakrabortty', 'PO_EMAI': 'achakrab@nsf.gov', 'PO_PHON': '7032920000'}

This CAREER proposal focuses on power grids, and aims to translate foundational theory and algorithms into breakthrough real-time optimization and control approaches for distributed energy resources (DERs). In this context, the overarching goal is to overcome current technological and operational barriers associated with the large-scale integration of DERs, where: (a) the deployment of DERs with business-as-usual practices has decreased power-quality and reliability, (b) existing network optimization approaches may fail to provide solutions at a time scale that matches the dynamics of power systems with DERs, and (c) synthetic models for users’ preferences and comfort may not capture the users’ goals truthfully. The research plan seeks a shift from a paradigm with a time-scale separation between economic optimization and local control – predominant in today's distribution grids, where corrective and localized rules serve as a basis for real-time voltage regulation and ancillary-service provisioning – to operations where DERs actively partake into grid operations and leverage real-time network-level coordination to seek increased efficiency and reliability. DER coordination is engineered so that DERs can learn to maximize users' preferences, while aiding system-level frequency and voltage control. An integrated education and outreach plan will engage middle- and high-school students through a summer Science, Technology, Engineering and Mathematics (STEM) Research Academy and lectures for the Pre-Collegiate Development Program. To bridge research and education, the PI will develop courses on the themes of online optimization for networks and optimization of power systems, and will promote undergraduate student research. A working group on optimization and learning will be created at the University of Colorado Boulder in synergy with the Autonomous Systems Interdisciplinary Research Theme, to bring together faculty and students across the campus and stimulate multi-disciplinary research and education.<br/><br/><br/>The proposed research leverages time-varying optimization models for networks operating in dynamic environments, and seeks to develop real-time optimization architectures with tightly-integrated feedback and learning components. The proposed feedback-based online algorithms have the following key attributes: i) Principled algorithmic steps employ measurements from the network to bypass the need for a network model; ii) Algorithms include humans in the loop by learning the users' utility functions from users' feedback during the execution of the online decision algorithm; iii) Algorithms are implemented in closed loop with the power network to acknowledge dynamics and effectively act as feedback controllers; and, iv) Algorithms promote low-complexity, distributed, and scalable architectures. Fundamental tradeoffs between convergence rate, tracking of time-varying optimal solutions, maximum constraint violation, and computational complexity of the algorithms will be offered.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.041

1

4900

4900

2444163

{'FirstName': 'Emiliano', 'LastName': "Dall'Anese", 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Emiliano Dall'Anese", 'EmailAddress': 'edallane@bu.edu', 'NSF_ID': '000778641', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'ZipCode': '022151703', 'PhoneNumber': '6173534365', 'StreetAddress': '1 SILBER WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'THL6A6JLE1S7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '022151703', 'StreetAddress': '1 SILBER WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}

['2020~138167', '2021~120510']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444163.xml'}

Conference: CI PAOS: Workshop: The CSUs Explore RDM Infrastructure - A Collaboration on Open Science with the National Institute of Informatics

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Plato Smith', 'PO_EMAI': 'plsmith@nsf.gov', 'PO_PHON': '7032924278'}

This project will coordinate a research conference between the United States (US) and Japan to promote Open Access and Research Data Management (RDM). Although Public Access, the free availability of federally funded scholarly materials to the public, has long been supported by librarians, librarians in the California State University System (CSUs) have also provided social and technical support for the principles and practices of Open Access as adopted by their research and publishing communities. The purpose of this proposal is to further socio-technical understanding by building capacity among the CSUs to explore and advance our readiness in supporting RDM. This is in response to the Office of Science and Technology Policy (OSTP) Memorandum on “Ensuring Free, Immediate, and Equitable Access to Federally Funded Research and the Desirable Characteristics of Data Repositories for Federally Funded Research”. Two US-Japan workshops and supporting meetings will be held to explore a sustainable RDM platform for open data from an international perspective. This conference proposal would generate research findings and deliverables comprising early- stage exploratory workshops and supporting meetings in California and Japan. The methods would comprise analysis, community planning, and leveraging knowledge on existing RDM cyberinfrastructure between the CSUs and Japan’s National Institute of Informatics (NII).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/13/2024

08/13/2024

None

Grant

47.070

1

4900

4900

2444293

{'FirstName': 'Jennifer', 'LastName': 'Beamer', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jennifer E Beamer', 'EmailAddress': 'jennifer.beamer@csusb.edu', 'NSF_ID': '0000A0JHS', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University Enterprises Corporation at CSUSB', 'CityName': 'SAN BERNARDINO', 'ZipCode': '924072318', 'PhoneNumber': '9095375929', 'StreetAddress': '5500 UNIVERSITY PKWY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '33', 'CONGRESS_DISTRICT_ORG': 'CA33', 'ORG_UEI_NUM': 'QJZ1F3UMLEJ4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY ENTERPRISES CORPORATION AT CSUSB', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University Enterprises Corporation at CSUSB', 'CityName': 'SAN BERNARDINO', 'StateCode': 'CA', 'ZipCode': '924072318', 'StreetAddress': '5500 UNIVERSITY PKWY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '33', 'CONGRESS_DISTRICT_PERF': 'CA33'}

{'Code': '741400', 'Text': 'NSF Public Access Initiative'}

2024~95322

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444293.xml'}

CAREER: Transportation Network Maintenance under Climate Change, Resource Uncertainties, and Connectivity

NSF

12/15/2023

09/30/2028

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Siqian Shen', 'PO_EMAI': 'siqshen@nsf.gov', 'PO_PHON': '7032927048'}

This Early Faculty Career Development (CAREER) project aims to improve transportation network maintenance with a focus on the growing severity and frequency of natural disasters due to climate change, resource uncertainties, and emerging data sources and implement an education program for next-generation transportation engineers, high school students, and the existing workforce with a focus on holistic thinking from a multidisciplinary perspective. Natural disasters substantially compromise regional transportation network’s mobility performance, reduce economic productivity, and create significant safety hazards to travelers. Transportation agencies in the United States spend more than $2.3 billion annually for winter roadway maintenance alone. Systematic considerations of the uncertainty of long-term regional weather patterns due to climate change, maintenance resources, and new data sources can significantly improve the resilience of a resource-intensive transportation network maintenance. This project will lay the groundwork for transforming traditional static transportation network maintenance operations into the next-generation data-driven and dynamic program that will reduce transportation infrastructure maintenance time and costs and minimize adverse societal impacts. The education program will train next-generation transportation professionals and the existing workforce and foster school students’ interest in science, technology, engineering, and mathematics.<br/><br/>The goal of this project is to advance the scientific discovery in transportation network maintenance operations under growing climate change-induced adverse weather risks and uncertainties for the formulation of a robust, efficient, flexible, and reliable maintenance program. Advanced data-driven and machine learning-based emerging network modeling and analysis techniques will be developed to advance the understanding of the interrelationship between transportation networks and maintenance demand uncertainties in a regional roadway network. This project will formulate and solve scientific problems critical for (i) understanding the dependency of different uncertainties in optimal maintenance activity center configuration at a regional scale, (ii) modeling the roadway condition observation location to improve the forecast of the transportation network condition and traffic pattern for timely and effective roadway maintenance, (iii) formulating the maintenance operations considering weather and resource uncertainties in a data-intensive environment, and (iv) characterizing the all-electric maintenance operations and charging infrastructure. The education plan will apply the multidisciplinary principles of engineering problem-solving in traditional civil/transportation engineering courses; prepare next-generation engineers through multidisciplinary research and education activities; develop and execute educational activities for K-12 to increase awareness about science, technology, engineering, and mathematics disciplines and careers; and execute outreach activities for dissemination of research findings.<br/><br/>This project is jointly funded by the Civil Infrastructure Systems (CIS) program and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/05/2024

08/05/2024

None

Grant

47.041

1

4900

4900

2444308

{'FirstName': 'Kakan', 'LastName': 'Dey', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kakan Dey', 'EmailAddress': 'kakan.dey@mail.wvu.edu', 'NSF_ID': '000738387', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488242600', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}

[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '163100', 'Text': 'CIS-Civil Infrastructure Syst'}]

2023~270000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444308.xml'}

RUI: Biosynthetic Diversification of Diketopiperazine Natural Products

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}

{'SignBlockName': 'Pumtiwitt McCarthy', 'PO_EMAI': 'pmccarth@nsf.gov', 'PO_PHON': '7032920000'}

With support from the Chemistry of Life Processes Program in the Division of Chemistry, Amy Lane from University of North Florida (UNF) aims to decipher Nature’s methods for creating a group of molecules known as 2,5-diketopiperazines (DKPs). These naturally occurring compounds offer a variety of applications in agriculture and other commercial enterprises. Microorganisms assemble DKPs through enzyme-catalyzed reactions, in which ubiquitous chemical building blocks are transformed into unique DKPs. Dr. Lane and her team seek to develop a molecular-level understanding of these enzymes to unleash the potential for biocatalytic synthesis of the next generation of DKPs. This project will be integrated into undergraduate education, with the project acting as a vehicle for providing hands-on research training to undergraduates. Impact on the future STEM (Science, Technology, Engineering and Mathematics) workforce will be magnified beyond direct research participants via the Creating Leaders in Multidisciplinary Basic Science (CLIMBS) program. The CLIMBS program implements professional development workshops as “ladders” to prepare UNF’s diverse student population for the pursuit of careers in science and to facilitate their entrance into graduate programs as a first step on that journey.<br/><br/>Cyclodipeptide synthases (CDPSs) catalyze the formation of DKP scaffolds from two aminoacyl-tRNA substrates. These DKP scaffolds are structurally diversified and equipped for biological function via tailoring reactions. Nearly all of the >800 experimentally-characterized or bioinformatics-predicted CDPSs originate from bacterial gene clusters that also encode predicted DKP tailoring enzymes with diverse and unknown functions. These cryptic biosynthetic pathways are predicted to yield a plethora of uniquely functionalized DKPs, but remain poorly explored relative to pathways yielding other common natural product classes. The goals of this project are to establish molecular-level understanding of selected biosynthetic pathways that contain CDPSs and to diversify DKP natural products obtained from these pathways. To accomplish these goals, the Lane research group will apply an in silico-in vitro approach to characterize molecular details of DKP isomerization, develop an in vivo biosynthetic platform for the assembly of DKP analogs from unnatural amino acids, and establish isotope-labeled metabolomics approaches to identify new DKPs. This work is expected both advance fundamental understanding of diketopiperazine biosynthesis and yield strategies to more fully unleash the power of mechanistically-guided synthetic biology in natural product chemistry.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/26/2024

08/26/2024

None

Grant

47.049

1

4900

4900

2444334

{'FirstName': 'Amy', 'LastName': 'Lane', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amy L Lane', 'EmailAddress': 'amylanephd@gmail.com', 'NSF_ID': '000643114', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Rose-Hulman Institute of Technology', 'CityName': 'TERRE HAUTE', 'ZipCode': '478033920', 'PhoneNumber': '8128778972', 'StreetAddress': '5500 WABASH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'IN08', 'ORG_UEI_NUM': 'VH9FNJX3Y7C7', 'ORG_LGL_BUS_NAME': 'ROSE-HULMAN INSTITUTE OF TECHNOLOGY INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Rose-Hulman Institute of Technology', 'CityName': 'TERRE HAUTE', 'StateCode': 'IN', 'ZipCode': '478033920', 'StreetAddress': '5500 WABASH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'IN08'}

{'Code': '688300', 'Text': 'Chemistry of Life Processes'}

2021~61703

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444334.xml'}

Travel: Data Science and Advanced Analytics (DSAA) 2024 Student Forum Travel Grant

NSF

08/15/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Sylvia Spengler', 'PO_EMAI': 'sspengle@nsf.gov', 'PO_PHON': '7032927347'}

The 2024 IEEE International Conference on Data Science and Advanced Analytics (DSAA) will be held in San Diego, CA, USA, from October 6th to 10th, 2024. This conference features a strong interdisciplinary synergy between statistics, computing, information/intelligence sciences, and cross-domain interactions between academia and business for data science and analytics. It also provides an ideal setting for students and others new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending tutorials.<br/> <br/>Twenty students from United States' universities will have the opportunity to participate in the DSAA 2024 Student Forum and the conference's technical program. These students will include both graduate and undergraduate students in data science or closely related fields. Support will be extended to those from underrepresented groups, and institutions not traditionally represented at DSAA conferences. Participation in the DSAA 2024 Student Forum will enhance students' educational experiences by exposing them to cutting-edge research and methodologies. Engaging with leading experts and peers will help them build crucial professional networks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/08/2024

08/08/2024

None

Grant

47.070

1

4900

4900

2444370

{'FirstName': 'David', 'LastName': 'Anastasiu', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David C Anastasiu', 'EmailAddress': 'danastasiu@scu.edu', 'NSF_ID': '000737815', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Santa Clara University', 'CityName': 'SANTA CLARA', 'ZipCode': '950504776', 'PhoneNumber': '4085544764', 'StreetAddress': '500 EL CAMINO REAL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_ORG': 'CA17', 'ORG_UEI_NUM': 'YE8LRJWSY3K9', 'ORG_LGL_BUS_NAME': 'PRESIDENT AND BOARD OF TRUSTEES OF SANTA CLARA COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Santa Clara University', 'CityName': 'SANTA CLARA', 'StateCode': 'CA', 'ZipCode': '950504776', 'StreetAddress': '500 EL CAMINO REAL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'CA17'}

{'Code': '748400', 'Text': 'IIS Special Projects'}

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444370.xml'}

NSF-SNSF: Integrated Vis/UV Modulation for Trapped-Ion Quantum Systems

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Dominique Dagenais', 'PO_EMAI': 'ddagenai@nsf.gov', 'PO_PHON': '7032922980'}

Trapped ions constitute a leading approach to quantum computing and simulation, owing to their high coherence, operation fidelities, and connectivity. While the complexity of classical electrical control required is comparable to other architectures, efficient modulation and delivery of laser light presents a major bottleneck for scaling beyond a few tens of qubits, especially considering the visible/UV wavelengths required for most species which preclude use of scalable optical modulators which have been developed primarily in the infrared. Passive visible/UV addressing photonics integrated within trap structures are being pursued by multiple efforts in the field to address the beam delivery/routing problem, but reliance on bulk optical modulators external to the trap device coupled to the quantum system via separate fiber inputs will limit the number of parallel modulated channels to a few tens. Our project aims to address this challenge by moving light modulation and routing into integrated photonics devices, enabling small footprints, and low power consumption to open a pathway to future co-integration with the waveguide-driven ion trap chips. <br/><br/>This project will assess two complementary routes to integrated modulation at VIS and UV wavelengths, based on both acousto- and electro-optics. This collaborative program leverages expertise in photonic materials and devices, ultra-sensitive measurements using ions, as well as relevant fabrication facilities at Cornell (COR) and the Paul Scherrer Institute (PSI). The project explores a novel device architecture for integrated acousto-optic modulators at UV and some VIS wavelengths leveraging high-index photonic materials at short wavelengths integrated with surface-acoustic-wave transducers and guiding structures, which will be pursued in theory and experiment. In parallel, the project leverages mature foundry platforms to develop and validate high-extinction visible-wavelength electro-optic modulator arrays. The work will also generate critical data, e.g. on photo-refractive damage in lithium niobate, and limits to extinction ratios and stability in short-wavelength electro-optic devices. The project involves characterization and performance comparison of the two approaches, and on application of the modulators developed in experiments for trapped-ion quantum control, which serve as ultimate performance benchmark, at both COR and PSI. Together, this work carries relevance to a wide range of applications beyond trapped ion quantum computing, such as atomic clocks, Light Detection and Ranging (LIDAR), and the life sciences. <br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.079

1

4900

4900

2444386

{'FirstName': 'Karan', 'LastName': 'Mehta', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karan Mehta', 'EmailAddress': 'kkm65@cornell.edu', 'NSF_ID': '000888515', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444386.xml'}

CNS Core: Small: Privacy-Preserving On-Device Intelligence in the IoT Era

NSF

12/15/2023

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Jason Hallstrom', 'PO_EMAI': 'jhallstr@nsf.gov', 'PO_PHON': '7032920000'}

On-device artificial intelligence (AI) is playing an increasingly important role in the Internet-of-Things (IoT) era. As a key enabler, model compression can accommodate state-of-the-art AI models within limited IoT resources without significantly compromising prediction performance. Given the connectivity among IoT devices, on-device intelligence is expected to not only serve individual IoT users more quickly and safely, but also support the broader IoT community. However, the growing IoT market makes IoT devices a primary target of adversaries. Meanwhile, recent research has shown severe privacy threats of AI models. When IoT meets AI, on-device intelligence is more likely to be subject to multiple new attack vectors, with significant potential impacts. This project consists of three research thrusts to develop privacy-preserving on-device intelligence in the IoT era: (i) exploring new vulnerabilities and the corresponding countermeasures for private on-device inference with model compression; (ii) establishing a private collaborative inference framework to protect intermediate on-device representations with high prediction performance; and (iii) investigating uncertainty-aware knowledge aggregation with lightweight, on-device obfuscation to protect collaborative training privacy. The proposed research will be rigorously evaluated via simulation tools, a large-scale testbed, and real-world deployment.<br/><br/>The success of this project will bring tangible benefits to a range of domains in the IoT era, including healthcare, cyber-physical systems, transportation, and education. The proposed research will unlock the potential of intelligent IoT applications and services while preserving privacy, democratizing AI for a more diverse community. The programs, models, and testbeds developed in the project will be publicly released to boost community progress in this research area. Further, research findings will be integrated within existing courses, educational programs, and K-12 outreach activities to encourage students, especially underrepresented groups, to pursue STEM education and research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/13/2024

08/13/2024

None

Grant

47.070

1

4900

4900

2444389

{'FirstName': 'Xiaoyong', 'LastName': 'Yuan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaoyong Yuan', 'EmailAddress': 'xiaoyon@clemson.edu', 'NSF_ID': '000826560', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'ZipCode': '296340001', 'PhoneNumber': '8646562424', 'StreetAddress': '201 SIKES HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'SC03', 'ORG_UEI_NUM': 'H2BMNX7DSKU8', 'ORG_LGL_BUS_NAME': 'CLEMSON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'StateCode': 'SC', 'ZipCode': '296340001', 'StreetAddress': '201 SIKES HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'SC03'}

{'Code': '735400', 'Text': 'CSR-Computer Systems Research'}

2022~473424

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444389.xml'}

Conference: Challenges and Opportunities in Open Science, Metascience, and AI

NSF

03/01/2025

02/28/2026

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Plato Smith', 'PO_EMAI': 'plsmith@nsf.gov', 'PO_PHON': '7032924278'}

Georgetown University’s Center for Security and Emerging Technology (CSET) and the Open Research Community Accelerator (ORCA) propose a one-day conference to bring experts together to discuss open science, metascience, and artificial intelligence (AI). The conference will be hosted on Georgetown University’s Law Campus in Washington D.C. in the spring of 2025.<br/><br/>The one-day meeting will build competency and community by fostering discussion and exposing a broad set of researchers and practitioners to developments in open science and the use of AI in metascience and improve shared understanding of the challenges researchers currently face in these areas. The conference will focus on (i) addressing challenges in measurement and data availability and quality when assessing the impact of open science and (ii) generating ideas for leveraging AI for more transparent and evidence-based metascience.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.070

1

4900

4900

2444480

{'FirstName': 'Catherine', 'LastName': 'Aiken', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Catherine Aiken', 'EmailAddress': 'catherine.aiken@georgetown.edu', 'NSF_ID': '000946475', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgetown University', 'CityName': 'WASHINGTON', 'ZipCode': '200570001', 'PhoneNumber': '2026250100', 'StreetAddress': 'MAIN CAMPUS', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'TF2CMKY1HMX9', 'ORG_LGL_BUS_NAME': 'GEORGETOWN UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'TF2CMKY1HMX9'}

{'Name': 'Georgetown University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200010001', 'StreetAddress': '500 First St NW, 9th floor', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '741400', 'Text': 'NSF Public Access Initiative'}

2024~49933

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444480.xml'}

CAREER:Light-Matter Interaction in Van der Waals Heterostructures of Atomically Thin Semiconductors

NSF

08/01/2024

05/31/2025

{'Value': 'Continuing Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': 'ykoshka@nsf.gov', 'PO_PHON': '7032924986'}

Light-matter interaction plays a critical role in modern technologies, including solar cells, photodetection, and light-emitting devices. This interaction takes a new form in the atomically thin semiconductors, in which new particles combining positive and negative charges are created by light. Understanding and manipulating these particles could improve devices and even realize new functions that are not currently possible, such as power-efficient memory devices and quantum computing. Stacking different layered semiconductors together and tuning the layer-layer interaction could further engineer these particles and lead to new properties not feasible in conventional materials. The main objectives of this CAREER project are to explore and investigate the unique light-matter interaction and emerging properties in individual and stacked atomically thin semiconductors. The gained understanding can shed light on how to exploit this new light-matter interaction in confined space for future optoelectronics with better efficiency, faster speed, or even novel functions. The integrated education component trains the next generation workforce for science and engineering at the nanometer scale through research opportunities, curriculum development, and outreach activities, with a focus on encouraging the participation of women and underrepresented groups. Both existing programs at Rensselaer Polytechnic Institute and newly developed outreach programs will be utilized to encourage K-12 students to study in the field of advanced optical science and nanoscale technology. <br/><br/>The emergence of two-dimensional semiconductors, especially monolayer transition metal dichalcogenides (TMDCs), ushers in unprecedented opportunities in exploiting the excitonic physics for quantum optoelectronics, while the understanding of intrinsic properties of the exciton is often hindered by the sample quality. By fabricating high-quality monolayer TMDC devices, this CAREER project aims to employ advanced optical spectroscopy techniques to study the unique light-matter interaction in monolayer TMDCs, with a focus on many-body physics that is critical for the exciton properties. The device and measurement configurations enable the control of doping, electrical field, and magnetic field, which provide additional tuning knobs for the spectroscopy study. Van der Waals heterostructure TMDCs devices with clean interfaces will also be constructed to investigate fascinating interlayer excitons, with the electron and hole residing in different layers. In addition, the twist angle of the hetero-bilayer TMDCs will be controlled to create a Moiré potential to further engineer interlayer excitons for emerging quantum states. The closely integrated research and education components provide training opportunities for graduate, undergraduate, and K-12 students on advanced optical spectroscopy, nanoscale device fabrication, and quantum materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/27/2024

08/27/2024

None

Grant

47.049

1

4900

4900

2444481

{'FirstName': 'Sufei', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sufei Shi', 'EmailAddress': 'shis2@rpi.edu', 'NSF_ID': '000708322', 'StartDate': '08/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}

['2023~79963', '2024~128157']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444481.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.076

1

4900

4900

2444504

{'FirstName': 'Katherine', 'LastName': 'Davis Small', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katherine Davis Small', 'EmailAddress': 'khdavi@wm.edu', 'NSF_ID': '000745268', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'College of William and Mary', 'CityName': 'WILLIAMSBURG', 'ZipCode': '231852817', 'PhoneNumber': '7572213965', 'StreetAddress': '1314 S MOUNT VERNON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'VA01', 'ORG_UEI_NUM': 'EVWJPCY6AD97', 'ORG_LGL_BUS_NAME': 'COLLEGE OF WILLIAM AND MARY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'College of William and Mary', 'CityName': 'WILLIAMSBURG', 'StateCode': 'VA', 'ZipCode': '231852817', 'StreetAddress': '1314 S MOUNT VERNON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'VA01'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~212000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444504.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Narcrisha Norman', 'PO_EMAI': 'nnorman@nsf.gov', 'PO_PHON': '7032927965'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.076

1

4900

4900

2444527

{'FirstName': 'Leemor', 'LastName': 'Joshua-Tor', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leemor Joshua-Tor', 'EmailAddress': 'leemor@cshl.edu', 'NSF_ID': '000160393', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cold Spring Harbor Laboratory', 'CityName': 'COLD SPG HBR', 'ZipCode': '117242202', 'PhoneNumber': '5163678307', 'StreetAddress': '1 BUNGTOWN RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'NY03', 'ORG_UEI_NUM': 'GV31TMFLPY88', 'ORG_LGL_BUS_NAME': 'COLD SPRING HARBOR LABORATORY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cold Spring Harbor Laboratory', 'CityName': 'COLD SPG HBR', 'StateCode': 'NY', 'ZipCode': '117242202', 'StreetAddress': '1 BUNGTOWN RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'NY03'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~159000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444527.xml'}

Collaborative Research: Moire Exciton-polariton for Analog Quantum Simulation

NSF

04/01/2024

03/31/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Dominique Dagenais', 'PO_EMAI': 'ddagenai@nsf.gov', 'PO_PHON': '7032922980'}

Understanding and designing how light interacts with materials play an important role in semiconductor technology, with applications in our daily lives ranging from solar energy harvesting and light-emitting devices to high-speed internet and high-performance computing. Engineering and enhancing this light-matter interaction are critical for advancing new technologies and even the new field of quantum information science and engineering (QISE). One strategy is to couple exciton, an optically excited electron and hole pair, to a nanoscale cavity and form exciton-polariton (EP), which is a half-material and half-light hybrid that inherits the advantages of both worlds. The photon nature allows us to manipulate the EP via optical engineering, and the exciton nature enables strong interaction. The light-matter interaction can be further enhanced in atomically thin semiconductors and engineered by stacking two of these atomic sheets together and precisely controlling their twist angle, forming a semiconducting moiré superlattice. In this proposal, we will design a systematic way to couple the nano-cavities with the semiconducting moiré superlattice to enhance the light-matter interaction to an unprecedented level, in which the device function can be drastically altered even by a single photon. This level of strong light-matter interaction can be utilized to implement photonic quantum simulations, a way to simulate new materials whose properties arise from complicated interactions between electrons. Strategically aligned with the National Quantum Initiative and Semiconductor Technology Initiative, this proposal will develop new course materials to train students for careers in high-demand, cutting-edge semiconductor, optical science, and QISE fields. Hands-on summer workshops on optics and nanofabrication for K-12 and under-represented minority students will be organized. The results from this proposal will be disseminated to both the scientific community and the general public to raise national awareness of the importance of QISE and semiconductor technology innovations.<br/><br/><br/>This proposal aims to develop a quantum nonlinear optical device platform to understand and engineer light-matter interactions in two-dimensional (2D) materials for analog quantum simulations. The project will accomplish a hybrid device that couples the robust excitons in a semiconducting moiré superlattice to nanophotonic resonators, forming a quasiparticle known as moiré exciton-polariton (EP), a half-material and half-light hybrid. The exciton in the semiconducting moiré superlattices formed by atomically thin transition metal dichalcogenides (TMDCs) can be tailored with even stronger interaction thanks to the electronic and excitonic flatbands. Therefore, the moiré superlattice hosts fascinating correlated insulating electronic states, and the exciton resonances are modified due to the moiré potential confinement. Strong coupling of the moiré excitons with the ultra-small mode-volume nanophotonic resonators and resonator arrays will lead to a unique moiré-EP platform for studying correlated excitonic physics and realizing nonlinear phonon-phonon interactions down to the single-photon level, paving the way to transformative quantum nano-optoelectronics such as analog quantum simulations. The proposed research will also transform the current state of power-efficient optical information processing and quantum optoelectronics. This proposal will develop education components well integrated with the proposed research to train students for the future workforce in semiconductor, optical science, and QISE fields. This proposal will develop learning opportunities on optics and nanofabrication for K-12 and under-represented minority students. The results from this proposal will be disseminated to a wide scientific audience and shared with the general public.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/19/2024

08/19/2024

None

Grant

47.041

1

4900

4900

2444533

{'FirstName': 'Sufei', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sufei Shi', 'EmailAddress': 'shis2@rpi.edu', 'NSF_ID': '000708322', 'StartDate': '08/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}

2024~250000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444533.xml'}

RAISE: Chip-to-chip photonic connectivity in multi-accelerator servers for ML

NSF

10/01/2024

09/30/2027

{'Value': 'Continuing Grant'}

{'Code': '15020000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'ITE', 'LongName': 'Innovation and Technology Ecosystems'}}

{'SignBlockName': 'SUDHARMAN KANKANAMGE JAYAWEERA', 'PO_EMAI': 'sjayawee@nsf.gov', 'PO_PHON': '7032922828'}

This RAISE project will develop new methods to connect multiple chips within computers using light instead of electrical wires. Using light to transfer data between chips can make data transfer faster and more energy efficient, which is crucial for working with large and complex data needed for societal applications like artificial intelligence, climate modeling, and biomedical research. The project will closely engage with industry partners to facilitate adoption of the proposed research into practice. The close collaboration with industry will help train a new generation of scientists and engineers with interdisciplinary expertise. The skills and insights gained through this project will prepare them to tackle future challenges that lie at the intersection of multiple scientific fields, aligning with the NSF's mission to advance the frontiers of knowledge and innovation.<br/><br/>The project proposes to optically interconnect accelerators within compute servers using newly viable reconfigurable chip-to-chip optical interconnects. In contrast, today, commercial multi-accelerator compute servers that are workhorses of machine learning, use electrical interconnects to network accelerator chips in the server. However, recent trends show the prominence of an interconnect bandwidth wall caused by accelerator scaling at a magnitude faster rate than the bandwidth of the interconnect between accelerators in the same server. This has led to under-utilization and idling of Graphical Processing Units (GPUs) resources in cloud datacenters. Therefore, it is important to scale interconnect bandwidth in multi-accelerator servers to keep power-hungry and expensive accelerators adequately fed with data and parameters. This project will use novel silicon photonics to create optical interconnections between accelerators within a server to meet this need. This research will benefit the complementary efforts of hyper-scale cloud providers by unlocking customized multi-accelerator topologies that achieve bandwidth-optimal collective communication between accelerators during distributed machine learning and can minimize the blast radius of accelerator failures.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/21/2024

08/21/2024

None

Grant

47.070, 47.084

1

4900

4900

2444537

{'FirstName': 'Rachee', 'LastName': 'Singh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachee Singh', 'EmailAddress': 'rs2293@cornell.edu', 'NSF_ID': '000925569', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

[{'Code': '272Y00', 'Text': 'TIP-CHIPS KTA-6 Communications'}, {'Code': '736300', 'Text': 'Networking Technology and Syst'}]

2024~970000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444537.xml'}

Conference: The Student Vote Research Network

NSF

01/01/2025

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}

{'SignBlockName': 'Brian Crisp', 'PO_EMAI': 'bcrisp@nsf.gov', 'PO_PHON': '7032927951'}

To incentivize and inspire additional evidence-based research, especially using<br/>randomized controlled trials (RCTs), and to continue collaborations and projects examining student votes in national elections, this project supports the Student Vote Research Network (SVRN) conference. Conference participants present and discuss evidence-based research conducted during election cycle and engage in discussions about ongoing and future potential collaborations in this underexplored area of research. Invited conference attendees include a diverse and interdisciplinary group of junior and senior faculty, graduate and undergraduate students, and postdoctoral fellows. Attendees also include scholars from large research institutions, smaller liberal arts colleges, community colleges, Historically Black Colleges and Universities (HBCUs) and Hispanic Serving Institutions (HSIs). Presentations will be made from recipients of 2024 SVRN subgrants. The conference will be open to the public.<br/><br/>The workshop has significant positive impacts that include building connections between scholars and practitioners, providing helpful feedback for participants, and generating new scholarship in the underexplored area of student political participation. Conference participants present and discuss evidence-based research conducted during election cycle and engage in discussions about ongoing and future potential collaborations in this underexplored area of research. Invited conference attendees include a diverse and interdisciplinary group of junior and senior faculty, graduate and undergraduate students, and postdoctoral fellows. Attendees also include scholars from large research institutions, smaller liberal arts colleges, community colleges, Historically Black Colleges and Universities (HBCUs) and Hispanic Serving Institutions (HSIs). The SVRN conference encourages the ongoing growth of a collaborative network of scholars, students, and practitioners for the purpose of enhancing research with robust external validity and immediate impact on student turnout.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.075

1

4900

4900

2444547

{'FirstName': 'Melissa', 'LastName': 'Michelson', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa R Michelson', 'EmailAddress': 'melissa.michelson@menlo.edu', 'NSF_ID': '000719237', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Menlo College', 'CityName': 'ATHERTON', 'ZipCode': '940274300', 'PhoneNumber': '6505433927', 'StreetAddress': '1000 EL CAMINO REAL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'N2YNXM7N6U57', 'ORG_LGL_BUS_NAME': 'MENLO COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Menlo College', 'CityName': 'ATHERTON', 'StateCode': 'CA', 'ZipCode': '940274300', 'StreetAddress': '1000 EL CAMINO REAL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_PERF': 'CA16'}

{'Code': '120Y00', 'Text': 'AIB-Acctble Institutions&Behav'}

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444547.xml'}

Collaborative Research: Conference: A Planning Workshop for the Advocacy Building Campaign for EER (ABC for EER)

NSF

10/01/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '07050000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EEC', 'LongName': 'Div Of Engineering Education and Centers'}}

{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': 'mverlege@nsf.gov', 'PO_PHON': '7032922961'}

This project is a planning workshop that will kick off an Advocacy Building Campaign for Engineering Education Research (ABC for EER) to promote the recognition and support of EER by universities and colleges nationwide. The ABC for EER seeks to address the problems facing the field of EER in gaining widespread acceptance and support within academia as a valued field of study. The field of EER includes educators and researchers with experience in the practices of both engineering and teaching and with expertise in education research, psychology, and social sciences. EER focuses on complex problems such as recruiting students in engineering with diverse perspectives and backgrounds, embracing new technologies and approaches to teaching engineering, and preparing diverse types of engineering students for the global challenges they will face as practicing engineers and leaders. Research by EER scholars provides evidence and knowledge to help universities and colleges address these complex problems; yet their work is often dismissed by administrators and faculty in engineering programs at universities and colleges as not being robust or relevant. This project aims to start the process of advocating for EER through a targeted campaign that will clearly articulate the value of EER to scholars outside the field, to leaders in higher education, and to policymakers who make decisions that affect higher education. This project aligns with the focus of the Engineering Education and Centers Division to promote research that creates and supports an innovative and inclusive technical workforce for the future, particularly in terms of understanding systemic and structural changes in engineering education programs, departments and colleges.<br/><br/>This planning workshop for the Advocacy Building Campaign for Engineering Education Research (ABC for EER) aims to address the challenges facing the field of EER, which can be characterized as a disconnect between the tangible benefits and impact of EER and the metrics typically prioritized by engineering programs, colleges and universities. These challenges often result in a lack of institutional support and recognition for EER scholars, they hinder the career advancement of EER scholars and the growth of EER as a discipline, and they limit the integration of innovative educational practices within higher education. The planning workshop will convene EER scholars, stakeholders and leaders at different levels of power and influence in higher education, policymaking, advocacy, and legislation. It will be conducted as a series of three sessions structured to build trust, foster collaboration, outline critical paths for implementation, and establish evaluation metrics to assess the success of the ABC for EER. Interim steps between workshop sessions are proposed to synthesize, communicate, and gather feedback on the planning process at different time points. The workshop sessions will be guided by elements of campaign strategy to identify and articulate the value of EER to a broad audience both within and outside of academia, develop a strategic communication plan, and lay out actionable objectives for promoting EER within the higher education community. The two anticipated outcomes of this workshop series are: (1) a list of key stakeholders in the EER ecosystem to participate in the future, ongoing ABC for EER, and (2) a plan for a series of activities to successfully conduct the ABC for EER as an advocacy campaign.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.041

1

4900

4900

2444574

{'FirstName': 'Lisa', 'LastName': 'Benson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lisa C Benson', 'EmailAddress': 'lbenson@clemson.edu', 'NSF_ID': '000108943', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'ZipCode': '296340001', 'PhoneNumber': '8646562424', 'StreetAddress': '201 SIKES HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'SC03', 'ORG_UEI_NUM': 'H2BMNX7DSKU8', 'ORG_LGL_BUS_NAME': 'CLEMSON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'StateCode': 'SC', 'ZipCode': '296340001', 'StreetAddress': '201 SIKES HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'SC03'}

{'Code': '134000', 'Text': 'EngEd-Engineering Education'}

2024~31289

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444574.xml'}

Collaborative Research: Conference: A Planning Workshop for the Advocacy Building Campaign for EER (ABC for EER)

NSF

10/01/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '07050000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EEC', 'LongName': 'Div Of Engineering Education and Centers'}}

{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': 'mverlege@nsf.gov', 'PO_PHON': '7032922961'}

This project is a planning workshop that will kick off an Advocacy Building Campaign for Engineering Education Research (ABC for EER) to promote the recognition and support of EER by universities and colleges nationwide. The ABC for EER seeks to address the problems facing the field of EER in gaining widespread acceptance and support within academia as a valued field of study. The field of EER includes educators and researchers with experience in the practices of both engineering and teaching and with expertise in education research, psychology, and social sciences. EER focuses on complex problems such as recruiting students in engineering with diverse perspectives and backgrounds, embracing new technologies and approaches to teaching engineering, and preparing diverse types of engineering students for the global challenges they will face as practicing engineers and leaders. Research by EER scholars provides evidence and knowledge to help universities and colleges address these complex problems; yet their work is often dismissed by administrators and faculty in engineering programs at universities and colleges as not being robust or relevant. This project aims to start the process of advocating for EER through a targeted campaign that will clearly articulate the value of EER to scholars outside the field, to leaders in higher education, and to policymakers who make decisions that affect higher education. This project aligns with the focus of the Engineering Education and Centers Division to promote research that creates and supports an innovative and inclusive technical workforce for the future, particularly in terms of understanding systemic and structural changes in engineering education programs, departments and colleges.<br/><br/>This planning workshop for the Advocacy Building Campaign for Engineering Education Research (ABC for EER) aims to address the challenges facing the field of EER, which can be characterized as a disconnect between the tangible benefits and impact of EER and the metrics typically prioritized by engineering programs, colleges and universities. These challenges often result in a lack of institutional support and recognition for EER scholars, they hinder the career advancement of EER scholars and the growth of EER as a discipline, and they limit the integration of innovative educational practices within higher education. The planning workshop will convene EER scholars, stakeholders and leaders at different levels of power and influence in higher education, policymaking, advocacy, and legislation. It will be conducted as a series of three sessions structured to build trust, foster collaboration, outline critical paths for implementation, and establish evaluation metrics to assess the success of the ABC for EER. Interim steps between workshop sessions are proposed to synthesize, communicate, and gather feedback on the planning process at different time points. The workshop sessions will be guided by elements of campaign strategy to identify and articulate the value of EER to a broad audience both within and outside of academia, develop a strategic communication plan, and lay out actionable objectives for promoting EER within the higher education community. The two anticipated outcomes of this workshop series are: (1) a list of key stakeholders in the EER ecosystem to participate in the future, ongoing ABC for EER, and (2) a plan for a series of activities to successfully conduct the ABC for EER as an advocacy campaign.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.041

1

4900

4900

2444575

{'FirstName': 'Cynthia', 'LastName': 'Finelli', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cynthia J Finelli', 'EmailAddress': 'cfinelli@umich.edu', 'NSF_ID': '000318938', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '134000', 'Text': 'EngEd-Engineering Education'}

2024~18706

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444575.xml'}

Conference: Workshop on Operational Factors for AI Diffusion and Productivity Growth

NSF

10/01/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '15020000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'ITE', 'LongName': 'Innovation and Technology Ecosystems'}}

{'SignBlockName': 'Chaitanya Baru', 'PO_EMAI': 'cbaru@nsf.gov', 'PO_PHON': '7032924596'}

The Workshop on Operational Factors for AI Diffusion and Productivity Growth will convene leading experts from academia, industry, policy and other sectors to discuss the economic impacts of AI technologies on domestic and international workforces. Given the significant investments being made in AI in both the private and public sectors, this workshop will not only provide a timely forum for a discussion on the topic but will also help seed new interdisciplinary and multi-sector collaborations to contribute new perspectives and enhanced dialogue on the diffusion of AI technologies and their economic impact. The workshop will help generate further avenues of study to understand these impacts. While there is currently much discussion about the effect that AI diffusion will have on the economy, the actual extent of its potential real impact is yet unknown. Large upfront costs mean that only large firms have the scale necessary to justify adoption as most firms find the technical feasibility far exceeds economic feasibility. The direction of organizational change will also determine whether gains in AI diffusion accrue in ways that tend to replace or augment workers. <br/><br/>The meeting will bring together industry practitioners, federal policy leaders and researchers in AI and economics to discuss the impact of AI on the workplace, productivity, and pay equity. Topics to be explored include the impact of AI adoption on productivity, the potential efficiency gains from this technology’s deployment, the reorganization of production and changing the composition of tasks within the firm, and the generation or creation of new tasks and work products. The workshop will facilitate in-depth discussions and connect experts to find avenues ripe for impact and further study. The workshop will feature several prominent researchers in the field as invited speakers. Results from the workshop will be widely circulated via a workshop report which will include findings and future directions for impact and further study.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.084

1

4900

4900

2444586

{'FirstName': 'Christophe', 'LastName': 'Combemale', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christophe B Combemale', 'EmailAddress': 'ccombema@andrew.cmu.edu', 'NSF_ID': '000931639', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '226Y00', 'Text': 'Special Projects'}

2024~66631

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444586.xml'}

NSF-SNSF: A Resilient and Efficient Cyber-security Fabric and Evaluation Framework for Future Integrated Satellite-Terrestrial Networks (SATUQ)

NSF

01/01/2025

12/31/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Huaiyu Dai', 'PO_EMAI': 'hdai@nsf.gov', 'PO_PHON': '7032924568'}

The emerging satellite networks will play a vital role in next-generation networked systems and applications (e.g., 6G, the Internet of Things), and ensuring the reliability and security of these satellite-enabled systems and services is vital. Although generic security protocols exist, the unique characteristics of satellite systems, like delay-awareness, error-proneness, and the intricate software/network stack of space-aerial-terrestrial integrated networks (SATIN), require efficient and lightweight network security protocols. The security threats due to emerging quantum computers and the heavy overhead of existing post-quantum secure standards compound these challenges. In this project, the research team aims to fill these gaps by developing a fast and lightweight network security fabric that respects the needs of trustworthy next-generation SATIN for the post-quantum era. The team will innovate on multiple fronts, including algorithmic (quantum-safety, distributed computing, time-disclosed cryptography), architectural (decentralized SATIN, distributed key management), and evaluation aspects of SATIN. The project's broader significance lies in novel solutions that achieve delay awareness, post-quantum security, and energy efficiency for SATINs, which enhance national security and broadly offer new educational and publicly adaptable tools with international collaborations.<br/><br/>The research team will create efficient network security solutions that increase the resiliency of next-generation SATIN to a vast range of threats, such as active adversaries, system breaches, and network faults while offering post-quantum security. The first thrust will enable delay-aware and secure broadcast functionalities by innovating post-quantum cryptography standards via new offline-online transformations, distributed execution strategies, and algorithmic improvements. The second thrust will exploit the architectural capabilities of the terrestrial segment to mitigate the quantum-safe commitment generation and distribution burden while enabling resilient key management. The third thrust will create novel and publicly verifiable symmetric-key solutions via synergizing time-disclosed cryptography and distributed computation methods. The final thrust will be to develop a comprehensive performance evaluation framework with simulations and tests (e.g., over NSF FABRIC) for our proposed network security assets that encapsulate several satellite-enabled applications and software-defined network architectures. The research team will execute outreach and broadening participation activities, including interdisciplinary curriculum development, international collaborations with workshops and joint educational activities, summer camps for minority K-12 students, industrial partnerships for transition to practice, and open-source platforms for reproducibility and broad adaptation. <br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.041

1

4900

4900

2444615

{'FirstName': 'Attila', 'LastName': 'Yavuz', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Attila A Yavuz', 'EmailAddress': 'attilaayavuz@usf.edu', 'NSF_ID': '000681750', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'ZipCode': '336205800', 'PhoneNumber': '8139742897', 'StreetAddress': '4202 E FOWLER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'FL15', 'ORG_UEI_NUM': 'NKAZLXLL7Z91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTH FLORIDA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'StateCode': 'FL', 'ZipCode': '336205800', 'StreetAddress': '4202 E FOWLER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'FL15'}

{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}

2024~364117

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444615.xml'}

NSF-SNSF: Flying in Turbulence with UAS

NSF

01/01/2025

12/31/2027

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Ron Joslin', 'PO_EMAI': 'rjoslin@nsf.gov', 'PO_PHON': '7032927030'}

Recent studies reveal that gaps in current atmospheric observations contribute to uncertainties in weather model forecasts. These gaps arise due to a mismatch in resolution between existing measurement tools, such as radiosondes, and modern Numerical Weather Prediction (NWP) models. To address these gaps, this project aims to understand how small Uncrewed Aircraft Systems (sUAS) can obtain high-resolution atmospheric measurements under realistic wind conditions. sUAS offer advantages like reusability and independence from finite resources like helium. The project will focus on developing a reliable sUAS-based scientific measurement platform for atmospheric data collection and extending the flight autonomy of sUAS through an improved understanding of their interactions with atmospheric turbulence. This initiative will enhance weather forecasts and provide valuable environmental monitoring capabilities.<br/><br/>Spatial and temporal observational gaps in existing measurement systems contribute to model forecast uncertainty. This uncertainty results from a resolution mismatch between current measurement systems, such as radiosondes, and advances in Numerical Weather Predictions (NWPs). This mismatch prevents NWPs from achieving maximum regional skill, particularly for pressure, temperature, humidity, and two-dimensional wind speed and direction measurements. Considering technological advances in small Uncrewed Aircraft Systems (sUAS) and their deployments for atmospheric boundary layer studies, sUAS could fill this data gap. They provide high-resolution spatiotemporal measurements of the lower atmosphere and maintain ground-relative position even in high winds. Compared to radiosondes, sUAS are nearly 100% reusable, environmentally friendly, and independent of finite resources like helium. Successful sUAS-based atmospheric measurements date back to the 1970s, with significant advancements in the early 2000s. Research teams developed custom sUAS designs for atmospheric sampling, with publications validating their effectiveness compared to towers, radiosondes, and LIDARs. Recent efforts have shown the feasibility and advantages of assimilating WxUAS data into NWPs and using sUAS for in-situ weather verification. However, reliable measurements from UAS platforms remain challenging due to the influence of the drone's presence, propulsion unit, and atmospheric turbulence on measurements. Turbulence also reduces flight autonomy and precludes extended missions in turbulent weather. To better understand UAS behavior and capabilities, this project will utilize a pixelated-wind facility known as a windshaper. Using multifan technology, UAS of any size can be flown in realistic wind conditions, including turbulence, shear flows, gusts, vortical flows, precipitation, and pollution particulates. The two main objectives of the project are: (1) to develop a reliable scientific measurement platform based on UAS for probing atmospheric pollution (chemicals, particulates) and thermodynamic and wind properties, and (2) to extend the flight autonomy of fixed winged UAS by developing a fundamental understanding of their interaction with microscale atmospheric turbulence.<br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.079

1

4900

4900

2444623

{'FirstName': 'Jamey', 'LastName': 'Jacob', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jamey D Jacob', 'EmailAddress': 'jdjacob@okstate.edu', 'NSF_ID': '000363051', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Oklahoma State University', 'CityName': 'STILLWATER', 'ZipCode': '740781031', 'PhoneNumber': '4057449995', 'StreetAddress': '401 WHITEHURST HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oklahoma', 'StateCode': 'OK', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OK03', 'ORG_UEI_NUM': 'NNYDFK5FTSX9', 'ORG_LGL_BUS_NAME': 'OKLAHOMA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Oklahoma State University', 'CityName': 'STILLWATER', 'StateCode': 'OK', 'ZipCode': '740781031', 'StreetAddress': '401 WHITEHURST HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oklahoma', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OK03'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~349932

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444623.xml'}

IntBIO Collaborative Research: Assessing drivers of the nitrogen-fixing symbiosis at continental scales

NSF

06/15/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Jeremiah W. Busch', 'PO_EMAI': 'jbusch@nsf.gov', 'PO_PHON': '7032925168'}

Nitrogen is an essential nutrient for all life on earth. It is also the most abundant element in the atmosphere, but most organisms cannot access it from the air directly. Only certain specialized microbes have the ability to convert nitrogen in the atmosphere into a biologically useful form in a process known as nitrogen fixation. Some of these microbes are free-living, but most live in a close symbiotic association within the roots of plants, exchanging nitrogen for carbon. This nitrogen-fixing symbiosis is a central component of the global nitrogen cycle, and it is central to agricultural systems because nitrogen is often the limiting factor for crop growth. It is therefore imperative to understand how nitrogen-fixing plant-bacterial partnerships form in nature and how they respond to an environment filled with challenges and in constant flux. The purpose of this project is to provide a data-intensive framework to learn how plants and bacteria choose their partners and how this choice influences and responds to surrounding species, soil, and climate. A second purpose of the project is to train students from groups underrepresented in science. Students will be prepared for the data-intensive careers now needed across STEM disciplines using an innovative mentorship program and interdisciplinary research including fieldwork, laboratory work, and computational biology.<br/><br/>The project will investigate the diversity of nitrogen-fixing bacteria and other microbes associating with plant roots across the North American continent using NSF-sponsored ecological monitoring resources through NEON (the National Ecological Observatory Network). At each of 45 NEON sites, environmental data will be combined with data on the nitrogen-fixing symbiosis. Specifically, investigators will sample the microbiome in the soil and root nodules, and will assay leaf isotopes to determine the level of function of nitrogen-fixing symbionts. Leveraging data from these different sources, the PIs will be able to determine whether microorganisms and plant partners are each limited by the same environmental factors, such as aridity. They will also be able to determine the extent to which choosiness of plant or microbe partners limit the extent of the association. In addition, by examining patterns in the tree of life, the PIs will be able to infer whether highly specific partnerships have persisted across evolutionary time. Finally, models will be used to address synthetic questions across all data sources. For example, a model can test the prediction that arid environments favor highly specific associations, in which both microbes and plants choose specific partners in those stressful settings.<br/><br/>This project is jointly funded by the BIO Emerging Frontiers Program and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/07/2024

08/07/2024

None

Grant

47.074

1

4900

4900

2444690

{'FirstName': 'Daijiang', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daijiang Li', 'EmailAddress': 'dli30@lsu.edu', 'NSF_ID': '000801598', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'StateCode': 'AZ', 'ZipCode': '85721', 'StreetAddress': '845 N PARK AVE RM 538', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}

{'Code': '727500', 'Text': 'Cross-BIO Activities'}

2023~345312

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444690.xml'}

Collaborative Research: Ice Forcing in Arc Magma Plumbing Systems

NSF

07/01/2024

08/31/2026

{'Value': 'Continuing Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Richard Yuretich', 'PO_EMAI': 'ryuretic@nsf.gov', 'PO_PHON': '7032924744'}

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/>A question at the frontier of Earth science is: how do changes in the climate system on our planet's surface interact with magma reservoirs housed within its interior? We will conduct a novel blend of field observations, lab measurements, and numerical model simulations in an integrated study of links between changes in glaciers and topography, and the behavior of several active volcanoes in Chile during the last 50,000 years. These volcanoes were partly covered by the 3,000 foot thick Patagonian ice sheet until it melted rapidly beginning 18,000 years ago. This natural laboratory offers unparalleled means to investigate how the rapid loss of ice impacted the composition and rates of eruptions from these volcanoes. This project will provide career-building experience for several PhD students. A volcano & ice Summer program will engage technical school students from underrepresented groups in the US and Chile in field- and lab-based experiences, including training in drone technology for data collection and geologic mapping. Our collaborations with Chilean scientists and educators aim to: (1) enhance knowledge of the growth rates and eruptive histories of several of the most dangerous volcanoes in South America, thereby improving hazard assessment, (2) generate new climate proxy data critical to calibrating our numerical model of ice sheet retreat, and (3) train students from the communities living near these volcanoes.<br/> Utilizing new and existing geochronologic, geochemical, glacial and erosion/deposition observations within the Andean Southern Volcanic Zone, we aim to couple a suite of numerical models to test and refine three hypotheses: (1) Over short timescales (<100,000 year), the composition, volume, and timing of eruptions are strongly influenced by climate-driven changes in surface loading. These short-term responses modulate the long-term (>100,000 year) average eruptive characteristics, which are governed by mantle melt flux, (2) Crustal stress changes associated with the local onset of rapid deglaciation and erosion at 18,000 years ago promoted eruptions by enhancing volatile exsolution that in turn pressurized stored magma and propelled dike propagation to the surface, and (3) Responses to rapid unloading will vary among volcanoes, reflecting contrasts in the composition, volatile contents, and compressibility of stored magma, as well as the rate at which crustal reservoirs are recharged from depth. This variability can be exploited to reveal fundamental controls on the sensitivity of glaciated arcs to the climate system. To investigate these hypotheses, we will pursue four objectives: (1) Generate high-resolution records of cone growth, eruptive behavior, and geochemical evolution of six volcanoes during the last ~50,000 years spanning 250 km along the subduction zone, (2) Build new records of ice retreat, and landscape evolution owing to the erosion, transport, and deposition of sediment adjacent to the six volcanoes, (3) Use the observed chemical and physical patterns in the volcanic, climatic, and topographic records to constrain crustal loading through time, and explore the effects of this forcing in numerical models, and (4) Integrate findings to contextualize processes in continental settings, and provide a framework for examining the sensitivity of arc volcanism to external forcing elsewhere and across a spectrum of climate states throughout Earth history.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/09/2024

08/19/2024

None

Grant

47.050

1

4900

4900

2444709

{'FirstName': 'Meredith', 'LastName': 'Townsend', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Meredith Townsend', 'EmailAddress': 'met423@lehigh.edu', 'NSF_ID': '000819104', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Lehigh University', 'CityName': 'BETHLEHEM', 'ZipCode': '180153008', 'PhoneNumber': '6107583021', 'StreetAddress': '526 BRODHEAD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'PA07', 'ORG_UEI_NUM': 'E13MDBKHLDB5', 'ORG_LGL_BUS_NAME': 'LEHIGH UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Lehigh University', 'CityName': 'BETHLEHEM', 'StateCode': 'PA', 'ZipCode': '180153008', 'StreetAddress': '526 BRODHEAD AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'PA07'}

[{'Code': '111Y00', 'Text': 'FRES-Frontier Rsrch Earth Sci'}, {'Code': '722200', 'Text': 'XC-Crosscutting Activities Pro'}]

['2021~12464', '2023~46183', '2024~99834']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444709.xml'}

NSF-SNSF: Generative Graph Models at Scale: Discrete Diffusion, Transferability and Requirements

NSF

10/01/2024

09/30/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Anthony Kuh', 'PO_EMAI': 'akuh@nsf.gov', 'PO_PHON': '7032924714'}

Graphs are structures used to describe relationship between objects. As such, their presence is pervasive in science and engineering. Graphs are at the core of a variety of disciplines that includes chemistry, communications, and transportation and are of increasing importance in a broader set of domains that includes integrated circuits, robotics, health and biology. The goal of this project is to extend generative artificial intelligence (AI) to the generation of graphs at scale. That is, it seeks to develop generative graph models capable of generating graphs with large numbers of nodes (objects) and a concomitant large number of edges (relationships). Scalability is a challenge of generative graph models that sets the problem apart from other generative models such as language and images. This is because it is more difficult to learn relationships than it is to learn objects. To attain scalability the project will advance the state of the art in three directions: (D1) Generative processes that focus on learning relationships, not objects. (D2) Generative process that work independent of scale and can therefore be trained at small scale and transferred to larger scales. (D3) Generative process that incorporate user-specified constraints in the generated graphs.<br/><br/>Research Directions (D1)-(D3) are addressed in this international collaborative proposal in three research thrusts. Thrust I builds discrete diffusion processes that progressively add or remove edges form a random graph. The use of discrete diffusion is intended to reduce the combinatorial complexity of exploring the graph space and stands in contrast to the Gaussian diffusion processes used in audio and image generative AI systems. Thrust II learns by transference. It trains generative models for small graphs that are later transferred to larger graphs. This reduces the computational complexity of training diffusion models in large graphs. To build these generative models that work independent of scale we rely on graphon and manifold abstractions of graph and corresponding abstract learning architectures in the form of graphon and manifold neural networks. Thrust III incorporates requirements in generative models. This reduces the sample complexity of the search space by guiding the diffusion process towards graphs that satisfy user-specified constraints. Fundamental research is applied to the generation of molecular graphs that mimic molecules with known properties as is needed in, e.g., drug discovery aided by AI. Overall, this project will develop novel theory and methods for effective informed graph generation at scale. Advances in the use of AI for drug discovery are anticipated and impacts in communications, robotics, circuit design and health are likely. Further impact of this project will come from education activities related to the undergraduate AI major at the University of Pennsylvania. This research project will impact the major's introductory course for first year students in which students learn about machine learning architectures and training procedures. Labs in this course include simple examples of speech recognition, image classification, and recommendation systems that illustrate the role of learning architectures. Students also have labs on dynamical systems, reinforcement learning, generative diffusion models and language models to illustrate the different ways in which learning architectures are trained.<br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.041

1

4900

4900

2444713

{'FirstName': 'Alejandro', 'LastName': 'Ribeiro', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alejandro Ribeiro', 'EmailAddress': 'aribeiro@seas.upenn.edu', 'NSF_ID': '000514675', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046314', 'StreetAddress': '200S.3rd Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444713.xml'}

NSF-SNSF: An AGE clock for RESIlience in SweaT- AGE RESIST

NSF

09/01/2024

08/31/2028

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Richard Nash', 'PO_EMAI': 'rnash@nsf.gov', 'PO_PHON': '7032925394'}

Aging is characterized by the progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This vulnerability is further compounded by the loss of resilience and stress resistance. Despite the development of various biomarkers and tests, such as the pan-mammalian epigenetic clock, the inflammatory aging clock (iAge), and the timed walking test, these tools are often limited in scope, labor-intensive, and reliant on specialized laboratories. There is a pressing need for a diagnostic tool that can integrate multiple biomarker types, offering continuous, real-life assessments of aging in a more accessible and convenient manner.<br/><br/>Sweat, an easily collectable body fluid from the skin surface, contains rich physiological and molecular information. This project aims to leverage the emerging potential of personalized healthcare to revolutionize traditional medical practices through the development of a wearable sweat-sensing platform capable of non-invasive, continuous, and laboratory-independent assessment of biological age and resilience. The AGE RESIST project brings together an interdisciplinary consortium of renowned researchers from leading academic institutions to achieve the following objectives. (1) Exploration of Novel Biomarkers: Identify and explore novel sweat-based molecular biomarkers associated with heat strain and aging, to construct a comprehensive age clock of resilience using advanced machine learning algorithms. (2) Validation of Biomarkers: Prospectively validate the identified biomarkers through clinical studies to ensure their reliability and accuracy. (3) Wearable Platform Development: Integrate the validated biomarkers into a state-of-the-art wearable sweat-analyzing platform that enables real-time, non-invasive monitoring of biological age and resilience.<br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.041

1

4900

4900

2444815

{'FirstName': 'Wei', 'LastName': 'Gao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wei Gao', 'EmailAddress': 'weigao@caltech.edu', 'NSF_ID': '000760435', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California Institute of Technology', 'CityName': 'PASADENA', 'ZipCode': '911250001', 'PhoneNumber': '6263956219', 'StreetAddress': '1200 E CALIFORNIA BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_ORG': 'CA28', 'ORG_UEI_NUM': 'U2JMKHNS5TG4', 'ORG_LGL_BUS_NAME': 'CALIFORNIA INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California Institute of Technology', 'CityName': 'PASADENA', 'StateCode': 'CA', 'ZipCode': '911250001', 'StreetAddress': '1200 E CALIFORNIA BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_PERF': 'CA28'}

{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}

2024~400000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444815.xml'}

Participant Support for MechBio Symposium 2024; Boulder, Colorado; 17-18 August 2024

NSF

08/15/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Shivani Sharma', 'PO_EMAI': 'shisharm@nsf.gov', 'PO_PHON': '7032924204'}

This grant provides support for participant costs to attend and participate in the MechBio Symposium 2024 to be held 17-18 August 2024, at the University of Colorado Boulder, in Boulder, Colorado. This support will broaden participation by reducing costs for participation, thereby enabling active high quality scientific participation from trainees both from within the Colorado Front Range area, as well as those traveling from outside the Front Range area. The goal of the MechBio mechanobiology meeting is to bring together investigators from the various disciplinary fields working on mechanobiology under one platform to promote dissemination of ideas and engagement across career-stages. This meeting will provide a unique opportunity to foster exchange of research ideas spanning various disciplines in engineering, computations, and biology. The intimate thematic setting will promote engagement across career stages from early-career to established senior investigators. The meeting programming will specifically ensure opportunities for sparking new cross-disciplinary collaborations. The Colorado Front Range location will add distinct advantages, with the presence of multiple research institutions, universities, medical centers, and a booming biomedical industry presence.<br/> <br/>The MechBio Symposium 2024 will be held as a 2-day event, featuring 5 single track scientific sessions; and dedicated programming for promoting collaboration, engaging trainees and early-career participants, and supporting their professional development in this field. The theme of the meeting will be: Enabling Convergence Across Techniques and Scales. This theme encapsulates the essence of the science we plan to discuss - how to combine a variety of cross-disciplinary techniques (theory, experiments, imaging, computations) to understand how mechanical signals are generated, transmitted, and converted into biological signals across a range of spatial and temporal scales. The meeting will host participants from a range of disciplines – engineering, physics, mathematics, life sciences, and clinical sciences. Participants will contribute in the form of delivering scientific talks, presenting posters etc. The conference contributions, and outcomes from the scientific discussions will be compiled in form of the conference proceedings booklet to be released openly with the broader mechanobiology and biomechanics community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.041

1

4900

4900

2444816

[{'FirstName': 'Debanjan', 'LastName': 'Mukherjee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Debanjan Mukherjee', 'EmailAddress': 'debanjan@Colorado.Edu', 'NSF_ID': '000732049', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Maureen', 'LastName': 'Lynch', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maureen E Lynch', 'EmailAddress': 'maureen.lynch@colorado.edu', 'NSF_ID': '000704407', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803090001', 'StreetAddress': '3100 MARINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '747900', 'Text': 'BMMB-Biomech & Mechanobiology'}

2024~7100

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444816.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.076

1

4900

4900

2444847

{'FirstName': 'Poorna', 'LastName': 'Kushalnagar', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Poorna Kushalnagar', 'EmailAddress': 'poorna.kushalnagar@gallaudet.edu', 'NSF_ID': '000591739', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gallaudet University', 'CityName': 'WASHINGTON', 'ZipCode': '200023600', 'PhoneNumber': '2026515497', 'StreetAddress': '800 FLORIDA AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'TQCJUED1WEF9', 'ORG_LGL_BUS_NAME': 'GALLAUDET UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gallaudet University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200023600', 'StreetAddress': '800 FLORIDA AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~106000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444847.xml'}

LEAPS-MPS: Investigation of Electrochromic Polymer Induced Plasmon Switching on Gold Nanocrystals and its Application for Smart Windows

NSF

08/01/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}

{'SignBlockName': 'Samy El-Shall', 'PO_EMAI': 'selshall@nsf.gov', 'PO_PHON': '7032927416'}

In this project, funded by the Chemistry Division at NSF, Professor Gang Chen and his students at the University of Central Florida will perform studies that aim to integrate electrochromic polymer with plasmonic nanoparticles to build a new type of smart windows with improved performance. Smart windows, whose transmittance/reflection of sunlight can be selectively adjusted, can dramatically improve the comfortability and security of living, and drastically reduce the energy consumptions of air conditioning in buildings and automobile vehicles. The performance of smart windows mainly depends on chromic materials, and polymer electrochromic materials are of great commercial value because of their high coloration efficiency, fast response speed, and high processability. However, electrochromic polymers will deteriorate under high applied electrochemical potentials. The deterioration will affect their long-term cyclability and lower their color contrast, which prevents the commercialization of the polymer electrochromic materials. Professor Chen and his students will tackle this challenge by developing hybrid materials consisting of plasmonic nanoparticle and electrochromic polymer that can be used to fabricate smart-window devices with improved color-switching characteristics. This project intends to expose smart materials research for a new generation so that they will take a leading role in future scientific innovation. Prof. Chen plans to involve graduate and undergraduate students, especially underrepresented minority students in STEM fields, as well as high school students in the project to broaden the integration of research and participation-oriented outreach activities. <br/><br/>Plasmonic nanoparticles, including gold, silver, and copper, have strong light absorption and scattering at their plasmon wavelengths, which can be synthetically tuned from visible to near infrared. The plasmonic properties are strongly dependent on their dielectric environments and thereafter can be easily varied by the dielectric change brought by the transition between bleached and colored states of electrochromic polymer. The introduction of plasmonic nanoparticles is expected to largely improve the color contrast of electrochromic polymer under different states and therefore avoid its possible electrochemical deterioration. This study will further our understanding on electrochromic polymer-induced plasmonic switching behaviors of plasmonic nanoparticles. Smart-window devices fabricated from plasmonic nanoparticles/electrochromic polymer hybrid nanostructures are expected to have improved color-switching characteristics. The knowledge gained from this study will also be useful for designing many other plasmon-based optical devices for controlling and directing light for a wide range of areas such as information displays, anti-counterfeiting inks, and photothermal systems for cancer therapy.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.049

1

4900

4900

2444865

{'FirstName': 'Gang', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gang Chen', 'EmailAddress': 'gang.chen@ucf.edu', 'NSF_ID': '000734995', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Southern University Research and Service Foundation, Inc', 'CityName': 'STATESBORO', 'ZipCode': '304586724', 'PhoneNumber': '9124785465', 'StreetAddress': '261 FOREST DR', 'StreetAddress2': 'STE 3000', 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'GA12', 'ORG_UEI_NUM': 'FL4AUYLFP7E8', 'ORG_LGL_BUS_NAME': 'GEORGIA SOUTHERN UNIVERSITY RESEARCH & SERVICE FOUNDATION INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Georgia Southern University Research and Service Foundation, Inc', 'CityName': 'STATESBORO', 'StateCode': 'GA', 'ZipCode': '304586724', 'StreetAddress': '261 FOREST DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'GA12'}

{'Code': '748700', 'Text': 'BROADENING PARTICIPATION'}

2023~241974

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444865.xml'}

Conference: Igniting Excellence in STEM Mentoring (IESM)

NSF

09/15/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Alfred Hall', 'PO_EMAI': 'alfhall@nsf.gov', 'PO_PHON': '7032924895'}

Mentors play an incredible role in supporting and cultivating the talents of the nation’s human resources, recognizing potential and helping to catalyze growth for advancing scientific innovation and discovery. The Presidential Awards for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM) represents the best of the best STEM mentors in the U.S. and is widely acknowledged as one of the most prestigious mentor groups with demonstrated excellence in cultivating the talent of all. Though these leaders have worked effectively in their contexts, rarely have they had opportunities to convene in ways that allow this body to work together, learning from each other and supporting the learning and development of others who could benefit from their expertise. This represents a knowledge gap and a unique opportunity to leverage this brain trust to address critical needs in the development of STEM ecosystems that can effectively support the success of all. This activity will organize a convening of PAESMEM Awardees and Mentoring Scholars and Practitioners to collectively advance knowledge and evidence-based approaches to mentoring. The focal point of this conference of PAESMEM leaders is to reflect on local and national trends impacting STEM education and workforce development in the U.S. and ways to advance and scale STEM mentoring that effectively reduces and eliminates opportunity gaps by developing the talents of all in STEM-related disciplines. The conference will target 75 participants from the PAESMEM and broader STEM mentoring communities. A guiding coalition of PAESMEM Awardees and Finalists will direct the engagement plan, design the conference agenda, and oversee the development of a national report of findings. The report and recommended tools will promote mentoring practices that reduce opportunity gaps, particularly for the most vulnerable human resources in STEM.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.076

1

4900

4900

2444876

{'FirstName': 'Zakiya', 'LastName': 'WilsonKennedy', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zakiya S WilsonKennedy', 'EmailAddress': 'zwilson@lsu.edu', 'NSF_ID': '000541587', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Louisiana State University', 'CityName': 'BATON ROUGE', 'ZipCode': '708030001', 'PhoneNumber': '2255782760', 'StreetAddress': '202 HIMES HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'LA06', 'ORG_UEI_NUM': 'ECQEYCHRNKJ4', 'ORG_LGL_BUS_NAME': 'LOUISIANA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Louisiana State University', 'CityName': 'BATON ROUGE', 'StateCode': 'LA', 'ZipCode': '708030001', 'StreetAddress': '202 HIMES HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'LA06'}

[{'Code': '159300', 'Text': 'PAESMEM Pres Awrds Excell Ment'}, {'Code': '734500', 'Text': 'PAEMST Pres Awrds Excell Teach'}]

2024~100000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444876.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Christopher L. Hill', 'PO_EMAI': 'chill@nsf.gov', 'PO_PHON': '7032928776'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.076

1

4900

4900

2444956

{'FirstName': 'Scott', 'LastName': 'Maddux', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Scott Maddux', 'EmailAddress': 'scott.maddux@unthsc.edu', 'NSF_ID': '000525256', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of North Texas Health Science Center at Fort Worth', 'CityName': 'FORT WORTH', 'ZipCode': '761072644', 'PhoneNumber': '8177355073', 'StreetAddress': '3500 CAMP BOWIE BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'TX12', 'ORG_UEI_NUM': 'JE8AKPCR2KA4', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF NORTH TEXAS HEALTH SCIENCE CENTER AT FORT WORTH', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of North Texas Health Science Center at Fort Worth', 'CityName': 'FORT WORTH', 'StateCode': 'TX', 'ZipCode': '761072644', 'StreetAddress': '3500 CAMP BOWIE BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'TX12'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444956.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Christopher L. Hill', 'PO_EMAI': 'chill@nsf.gov', 'PO_PHON': '7032928776'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.076

1

4900

4900

2444957

{'FirstName': 'Donald', 'LastName': 'Reeves', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Donald M Reeves', 'EmailAddress': 'matt.reeves@wmich.edu', 'NSF_ID': '000363928', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Western Michigan University', 'CityName': 'KALAMAZOO', 'ZipCode': '490085200', 'PhoneNumber': '2693878298', 'StreetAddress': '1903 W MICHIGAN AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MI04', 'ORG_UEI_NUM': 'J7WULLYGFRH1', 'ORG_LGL_BUS_NAME': 'WESTERN MICHIGAN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Western Michigan University', 'CityName': 'KALAMAZOO', 'StateCode': 'MI', 'ZipCode': '490085200', 'StreetAddress': '1903 W MICHIGAN AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MI04'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2444957.xml'}

CAS-Climate: GOALI: Quantifying the Risk of Temporal and Spatial Compounding Extreme Climate Events on Global Breadbasket Regions

NSF

09/15/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Bruce Hamilton', 'PO_EMAI': 'bhamilto@nsf.gov', 'PO_PHON': '7032920000'}

Climate extremes in global breadbasket regions trigger ripple effects on global food security and American multinational food industries. While individual extreme events like droughts and heatwaves negatively affect crop yields, the most severe effects result from compound extreme events, posing significant challenges for climate adaptation. Quantifying these extreme climate shocks is of great interest to industries, insurance companies, and governments. This study aims to investigate the interconnected climate extremes of droughts and heatwaves, which can co-evolve over time (temporal compounding) or occur simultaneously in different breadbasket regions (spatial compounding). Although the risks of individual extremes have been studied, an integrated risk assessment of temporal and spatial compounding extremes on global breadbaskets and supply regions is lacking. Spatial compounding events can lead to significant economic impacts on American industries and strain interconnected supply chains. This GOALI project involves a university-industry partnership to investigate the risks of temporal and spatial compounding climate extremes on global breadbasket regions and PepsiCo's supply chain source regions.<br/><br/>The project objective are to: (a) quantify the potential risk of drought, heatwaves, and compound drought and heatwave events on crop yields for breadbasket regions, (b) quantify the spatial compounding risk of extreme events simultaneously occurring over multiple (coupled) breadbasket regions, (c) investigate the potential impact of climate change on the evolution and spatial synchronization of drought, heatwave, and compound events for the breadbasket regions, and (d) develop seasonal prediction models for spatially compounding extreme events and associated risk on crop yields over the supply regions for PepsiCo. The research results will have a positive societal impact by reducing the risk of extreme events on global food security and enhancing the competitiveness of American multinational food industries globally. The collaborative framework will drive innovations and foster new talent, such as graduate students and postdocs, by creating a skilled workforce capable of addressing real-world challenges. Agriculture-related stakeholders, including business units, industries, and farmers who outsource agricultural products, can use the created tools to mitigate the risks of climate extremes, enhance environmental sustainability, promote social equity and economic stability for farmers, and strengthen global cooperation between American industries and international partners.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.041

1

4900

4900

2445027

{'FirstName': 'Ashok', 'LastName': 'Mishra', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ashok Mishra', 'EmailAddress': 'ashok_mishra@tamu.edu', 'NSF_ID': '000652355', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433124', 'StreetAddress': '3124 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

[{'Code': '164200', 'Text': 'Special Initiatives'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}]

2024~500000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445027.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2445056

{'FirstName': 'Jeremy', 'LastName': 'Ernst', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeremy Ernst', 'EmailAddress': 'ernstj1@erau.edu', 'NSF_ID': '000256207', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Embry-Riddle Aeronautical University', 'CityName': 'DAYTONA BEACH', 'ZipCode': '321143910', 'PhoneNumber': '3862267695', 'StreetAddress': '1 AEROSPACE BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'FL06', 'ORG_UEI_NUM': 'U5MMBAC9XAM5', 'ORG_LGL_BUS_NAME': 'EMBRY-RIDDLE AERONAUTICAL UNIVERSITY, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Embry-Riddle Aeronautical University', 'CityName': 'DAYTONA BEACH,', 'StateCode': 'FL', 'ZipCode': '321143910', 'StreetAddress': '1 AEROSPACE BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'FL06'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~106000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445056.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/12/2024

08/12/2024

None

Grant

47.076

1

4900

4900

2445100

{'FirstName': 'Stylianos', 'LastName': 'Fakas', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stylianos Fakas', 'EmailAddress': 'stylianos.fakas@aamu.edu', 'NSF_ID': '000768568', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Alabama A&M University', 'CityName': 'NORMAL', 'ZipCode': '357627500', 'PhoneNumber': '2563728186', 'StreetAddress': '4900 MERIDIAN STREET NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'AL05', 'ORG_UEI_NUM': 'JDVGS67MSLH7', 'ORG_LGL_BUS_NAME': 'ALABAMA A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Alabama A&M University', 'CityName': 'NORMAL', 'StateCode': 'AL', 'ZipCode': '357627500', 'StreetAddress': '4900 MERIDIAN STREET NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'AL05'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445100.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2445102

{'FirstName': 'Donald', 'LastName': 'Thomason', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Donald B Thomason', 'EmailAddress': 'dthomason@uthsc.edu', 'NSF_ID': '000245113', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'The University of Tennessee, Memphis - The Health Science Center', 'CityName': 'MEMPHIS', 'ZipCode': '381034902', 'PhoneNumber': '9014484889', 'StreetAddress': '62 S DUNLAP ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'TN09', 'ORG_UEI_NUM': 'X1M1PN3KG3E7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TENNESSEE', 'ORG_PRNT_UEI_NUM': 'JBG7T7RXQ2B7'}

{'Name': 'The University of Tennessee, Memphis - The Health Science Center', 'CityName': 'MEMPHIS', 'StateCode': 'TN', 'ZipCode': '381034902', 'StreetAddress': '62 S DUNLAP ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'TN09'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445102.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

08/15/2024

07/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2445125

{'FirstName': 'Frank', 'LastName': 'Pezold', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Frank L Pezold', 'EmailAddress': 'frank.pezold@tamucc.edu', 'NSF_ID': '000360373', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M University Corpus Christi', 'CityName': 'CORPUS CHRISTI', 'ZipCode': '784125739', 'PhoneNumber': '3618252730', 'StreetAddress': '6300 OCEAN DR UNIT 5739', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_ORG': 'TX27', 'ORG_UEI_NUM': 'Y3RET2XN41S5', 'ORG_LGL_BUS_NAME': 'TEXAS A&M UNIVERSITY-CORPUS CHRISTI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas A&M University Corpus Christi', 'CityName': 'CORPUS CHRISTI', 'StateCode': 'TX', 'ZipCode': '784125739', 'StreetAddress': '6300 OCEAN DR UNIT 5739', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_PERF': 'TX27'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445125.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2445127

{'FirstName': 'Jason', 'LastName': 'Nelson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason Nelson', 'EmailAddress': 'Jason@PureSpeedComposites.com', 'NSF_ID': '000751892', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'ZipCode': '216133368', 'PhoneNumber': '4102212014', 'StreetAddress': '2020 HORNS POINT RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MD01', 'ORG_UEI_NUM': 'JHTYTGKYWLL9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND CENTER FOR ENVIRONMENTAL SCIENCE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'StateCode': 'MD', 'ZipCode': '216133368', 'StreetAddress': '2020 HORNS POINT RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MD01'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445127.xml'}

CAREER: Develop PROTAC-CID, a Novel Small Molecule Inducible Platform for Controllable Gene Expression in Mammalian Cells

NSF

06/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Steven Peretti', 'PO_EMAI': 'speretti@nsf.gov', 'PO_PHON': '7032924201'}

It is difficult to control gene expression in mammalian cells. Accomplishing this is key to developing effective cell therapies. Small molecules can exert that control. Unfortunately, small molecules are often toxic, and tend to have a limited, on-off capability. The aim of this project is to develop an improved small molecule system for mammalian cells. This system will be tunable instead of on/off. Highly sensitive, it will interact with multiple genes to direct more complex behaviors. Undergraduates from underrepresented groups and high school teachers will learn techniques of synthetic biology and CRISPR technology.<br/><br/>Proteolysis Targeting Chimeric (PROTAC)-Chemically Induced Dimerization (CID) systems will be developed as sensitive, multiplex, tunable, and safe toolkits to control gene expression in mammalian cells. Combining PROTAC-CID with genome editors will enable precise genomic modification. This will greatly increase the accuracy and safety of using genome editors for basic and therapeutic applications. The specific research goals are to 1) establish a novel PROTAC-CID inducible gene expression system; 2) engineer multiplex inducible gene regulations; 3) design high-induction and low-basal level PROTAC-CID systems for Cre recombinase expression, and 4) develop PROTAC-CID inducible CRISPR base editors. Successful completion should result in novel PROTAC-CID inducible gene expression platforms for multiplex gene regulations in living eukaryotic cells. These systems will provide deep insights into the approaches to achieve high-induction and low basal-level gene expressions. Finally, applying PROTAC-CID systems to CRISPR base editors will permit inducible genomic DNA modification at a defined time to reduce the off-target effect and increase the accuracy and safety in genome editing.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/16/2024

08/16/2024

None

Grant

47.041

1

4900

4900

2445285

{'FirstName': 'Xue', 'LastName': 'Gao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xue Gao', 'EmailAddress': 'xuegao@seas.upenn.edu', 'NSF_ID': '000824739', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046205', 'StreetAddress': '3451 WALNUT ST STE 440A', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}

['2022~186429', '2023~99931']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445285.xml'}

Collaborative Research: Research Initiation: Engineering students' outcome expectations for AI careers: An exploratory study

NSF

10/01/2023

08/31/2024

{'Value': 'Standard Grant'}

{'Code': '07050000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EEC', 'LongName': 'Div Of Engineering Education and Centers'}}

{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': 'mverlege@nsf.gov', 'PO_PHON': '7032922961'}

The United States is facing an unprecedented shortage of engineers who are skilled in artificial intelligence (AI). AI has the potential to transform all fields of engineering and technology, but this potential can only be realized if today’s engineering students choose to make AI part of their educational and career goals. This project will study how and why engineering students include or exclude AI from their educational and career goals. Results from this project will lay the groundwork for designing inclusive programs that meet tomorrow’s demands for a skilled AI workforce. This project aligns with national priorities as outlined in the National AI R&D Strategic Plan, among other federal policy documents.<br/><br/>This project examines how undergraduate engineering students at a large, public engineering school navigate a career landscape that is being reshaped by AI. Grounded in Social Cognitive Career Theory, our qualitative study will answer the following questions: 1.) How do engineering undergraduates perceive academic and career options related to AI, and how do students describe these perceptions as influencing their academic and career plans? 2.) How are students’ outcome expectations related to AI coursework and careers similar to or different from their outcome expectations for coursework and careers in their traditional engineering major? 3.) How do the outcome expectations of students who are interested in AI careers differ from students who are interested in more conventional engineering careers? Long term, this work will help educators understand how AI can be brought into undergraduate engineering education without excluding students who initially do not have an interest or background in AI and without decreasing interest in traditional engineering careers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/21/2024

08/21/2024

None

Grant

47.041

1

4900

4900

2445412

{'FirstName': 'Paul', 'LastName': 'Jensen', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul A Jensen', 'EmailAddress': 'pjens@umich.edu', 'NSF_ID': '000717576', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': 'ANN ARBOR, MI 481091079', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '134000', 'Text': 'EngEd-Engineering Education'}

2020~44763

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445412.xml'}

Collaborative Research: Resolving thin-skinned and basement-involved deformation within a seismically active broken foreland region, San Juan, Argentina

NSF

08/15/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Colin A. Shaw', 'PO_EMAI': 'cshaw@nsf.gov', 'PO_PHON': '7032927944'}

The cities of Mendoza and San Juan, Argentina, have been repeatedly damaged or leveled by large-magnitude earthquakes generated by geological structures associated with Andean mountain building. Because active seismicity occurs along faults that can be expressed at or hidden below Earth’s surface, the nature and history of these enigmatic structures remains debated. Several competing geologic models have been proposed that link the seismicity at depth with faults and mountain ranges expressed at Earth’s surface. This project will address these debates through fieldwork to map fault relationships and measurement of associated sedimentary basin deposits that record the uplift and erosion history of actively growing Andean ranges. A variety of geochronologic and low-temperature thermochronologic analytical techniques will be employed to determine the timing and magnitude of deformation across the geological structures. Results will be integrated using computational models to help resolve the debated geologic history for these Andean ranges. New field and analytical records of long-term fault deformation will be integrated with geophysical observations and decades of earthquake data with the help of collaborating Argentinian scientists. This will lead to a better understanding of how tectonic forces are partitioned among deep and surficial geologic structures and which faults may generate large magnitude earthquakes, information that is critical for assessments of Andean earthquake hazards with the potential to impact human populations and infrastructure. In addition to the scientific goals of the research, the award supports the development of infrastructure to support the engagement of diverse and historically underrepresented high school, undergraduate, and PhD-level students in geoscience research and education. This will involve mentoring undergraduate and graduate students at the participating institutions and creating a place-based educational virtual field trip through the western USA and field area in Argentina.<br/><br/>Tectonic stresses associated with flat slab subduction have driven deformation 800 km inboard across the broken foreland of west-central Argentina. Ongoing shortening accommodated within the overlapping thin-skinned and basement-involved structural provinces makes this broken foreland region one of the most seismically active places on Earth. However, there is no consensus on the structural or kinematic links between the thin-skinned Central Precordillera, the Sierras Pampeanas basement uplifts, or the enigmatic thrust front of the Eastern Precordillera structural domain. The principal investigators aim to resolve the temporal and kinematic relationships among structures by (1) determining the timing and magnitude of deformation in the Eastern Precordillera thrust front and (2) interrogating how spatial patterns in exhumational cooling and subsidence coincide with predictions based on the various structural geometries and kinematics proposed for the region. Their research plan will integrate geologic and structural mapping, basin analysis, geo- and thermochronology, and flexural thermokinematic modeling to discriminate between hypothesized structural models. Evaluating spatial-temporal relationships among the seismically active, structural domains in Argentina will inform models of subsurface structural geometries, how shortening transfers from lower to upper crustal levels, and the long-term interactions between frontal thrust structures and foreland-basin sedimentation. New results will quantify the effects of enhanced mechanical coupling between the subducting and overriding plate during flat slab subduction, which dictates the thermo-tectonic evolution of orogenesis and topographic growth and decay of mountain belts.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/15/2024

08/15/2024

None

Grant

47.050

1

4900

4900

2445472

{'FirstName': 'Chelsea', 'LastName': 'Mackaman-Lofland', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chelsea Mackaman-Lofland', 'EmailAddress': 'mackamanloflandc@denison.edu', 'NSF_ID': '000808471', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'ZipCode': '379960001', 'PhoneNumber': '8659743466', 'StreetAddress': '201 ANDY HOLT TOWER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'TN02', 'ORG_UEI_NUM': 'FN2YCS2YAUW3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TENNESSEE', 'ORG_PRNT_UEI_NUM': 'LXG4F9K8YZK5'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'StateCode': 'TN', 'ZipCode': '379960001', 'StreetAddress': '201 ANDY HOLT TOWER', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'TN02'}

{'Code': '157200', 'Text': 'Tectonics'}

2023~89997

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445472.xml'}

Exploring cognition with multiple rewards: A new dimension into the cognitive ecology of pollination

NSF

03/01/2024

12/31/2025

{'Value': 'Standard Grant'}

{'Code': '08090500', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Jodie Jawor', 'PO_EMAI': 'jjawor@nsf.gov', 'PO_PHON': '7032927887'}

Animals use multiple pieces of information from their environments to make decisions such as where to search for food, or which option is the best choice. How animals learn about available options has traditionally been studied in relation to a single reward (such as a particular food item). However, animals including humans often have to make decisions that vary in multiple types of reward. The research from this grant will determine how animals make these more complex types of decisions. To do this, bumblebees will be used: these bees visit a wide variety of flower types and in doing so learn to visit the most highly rewarding ones. The majority of research has focused on how bees learn and make decisions based on a single reward from flowers (nectar), despite the fact that bees collect multiple types of reward (the most common being nectar and pollen). This research will increase our knowledge of bumblebee foraging, which is particularly timely given recent bee declines. It will also more broadly inform our understanding of how animals, including humans, make complex decisions. The grant will support a postdoctoral researcher, a graduate student and undergraduate researchers. The research will be presented at national and international conferences, as well as to the public through a number of outreach events. Finally, 1-2 high school students per year will work alongside graduate students on research projects, with the aim of encouraging students from diverse backgrounds to pursue careers in science. <br/><br/>This project will address how multiple rewards affect cognition (learning, memory and decision-making), in three objectives. 1) It will be determined how learning is affected by multiple rewards through establishing how single vs. multiple rewards (nectar and pollen) affect how well a stimulus is learned, and the timing of reinforcement. 2) It will be determined how animals make decisions when choosing between options with multiple rewards, through addressing how bees make decisions between flowers that vary in nectar and pollen quality. For this objective it will also be determined whether absolute or comparative judgement is used. 3) It will be determined how bees’ motivational state affects their memory of flowers with multiple rewards, by addressing whether motivational state when learning and remembering affects memory of reward or stimulus quality. All objectives will be carried out using lab- and greenhouse-based experiments with artificial flowers and commercial bumblebee colonies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/13/2024

08/13/2024

None

Grant

47.074

1

4900

4900

2445480

{'FirstName': 'Felicity', 'LastName': 'Muth', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Felicity Muth', 'EmailAddress': 'fmuth@ucdavis.edu', 'NSF_ID': '000824555', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'StateCode': 'CA', 'ZipCode': '956165270', 'StreetAddress': 'One Shields Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'CA04'}

{'Code': '765900', 'Text': 'Animal Behavior'}

['2020~323022', '2022~39176']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445480.xml'}

Roles of meiotic-stage non-coding RNAs in maize anther development

NSF

03/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Stephen DiFazio', 'PO_EMAI': 'sdifazio@nsf.gov', 'PO_PHON': '7032924517'}

Pollen production and regulation of plant fertility are essential to agriculture. Hybrid corn and other grains have significantly boosted world food production. This project will investigate the functions of RNAs that support pollen development in anthers (the organs that make pollen in flowering plants). The project will utilize plant genomics and developmental biology to determine the biological roles of small RNAs and the proteins that utilize them for anther functions. These RNAs are required for robust male fertility: in the absence of the small RNAs, at normal temperatures, development fails, yielding male sterility. Fertility can be rescued under lower temperatures, linking environmental conditions to the role of these small RNAs. The project focuses on maize because it is an optimal system for the proposed experiments; plus, male fertility is key to the production of hybrid corn seed. Outcomes of this project could include improved control of male fertility in grass crops. Broader impacts of the project include training of students in plant and RNA biology. <br/><br/>The project will focus specifically on the class of 24-nt phased, secondary siRNAs, known as “24-nt phasiRNAs” that are highly enriched in meiotic-stage anthers. The project will characterize phenotypes and molecular genetic analysis of loss-of-function knock-outs including the Dicer-like5 (Dcl5) gene, for which the preliminary data demonstrate male sterility. The questions to be addressed by this project include which basic Helix-Loop-Helix transcription factors function to activate transcription of the 24-nt phasiRNAs? How does the core biogenesis protein DCL5 function, and what is the exact nature of the phenotype of sterility in its absence? Are there genetic modifiers of the dcl5 conditional phenotype in other backgrounds of maize? What are the key catalytic Argonaute proteins that load the 24-nt phasiRNAs for their function? And what are the target RNAs with which the phasiRNA-loaded Argonaute proteins interact?<br/><br/>This award was co-funded by the Genetic Mechanisms Cluster in the Division of Molecular and Cellular Biosciences and the Plant Genome Research Program in the Division of Integrative Organismal Systems.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/12/2024

08/12/2024

None

Grant

47.074

1

4900

4900

2445607

{'FirstName': 'Blake', 'LastName': 'Meyers', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Blake C Meyers', 'EmailAddress': 'bcmeyers@ucdavis.edu', 'NSF_ID': '000241552', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'StateCode': 'CA', 'ZipCode': '956165270', 'StreetAddress': 'One Shields Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'CA04'}

[{'Code': '111200', 'Text': 'Genetic Mechanisms'}, {'Code': '132900', 'Text': 'Plant Genome Research Project'}]

2023~834968

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445607.xml'}

Summer Institute in Statistical Genetics

NSF

05/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Samuel Scheiner', 'PO_EMAI': 'sscheine@nsf.gov', 'PO_PHON': '7032927175'}

General awareness of the power of genetic knowledge is evident in the rapid use of direct-to-consumer genetic testing companies for people to learn about their own ancestries and to find previously unknown relatives, and the consequent solving of long-cold crimes by genetic genealogists. More generally, the genetic constitutions of plants, animals and humans influence their fitness for survival and their behavior and also can reveal their evolutionary histories. Advances in genetics rest on observations made in nature or in the laboratory, and numerical representations of those observations inform scientific theories as well as the decisions made by conservationists, plant and animal breeders, forensic scientists and physicians. Turning data into knowledge is the realm of statistics, and statistical genetics is changing as fast as genetics itself to meet the challenges Mendel could not have imagined when he collected data on seven characteristics of peas. Human geneticists now have data sets with over a billion genetic elements per individual, and the statistical tools of even ten years ago are often not sufficient to reveal the underlying information in so much data. Students in the biological sciences need help in learning about new statistical procedures and the Summer Institute in Statistical Genetics lets them interact with the people who developed those procedures and who have proven themselves effective as instructors and mentors. <br/><br/>The Summer Institute in Statistical Genetics is an annual program of 18 short courses, held in three parallel half-week sessions over a period of three weeks each July at the University of Washington. Each course is led by two instructors from across the US and other countries. Participants can progress through a series of courses, often over multiple years, that begin with basic concepts in probability and statistics and end with advanced topics including Markov chain Monte Carlo methods and pathway and network analyses. They can choose courses that address data from natural or experimental plant and animal populations, or human populations. They can follow population or quantitative genetic streams, or learn about applications to conservation or forensic science.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/14/2024

08/14/2024

None

Grant

47.049, 47.074, 47.075

1

4900

4900

2445639

{'FirstName': 'Gregory', 'LastName': 'Gibson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gregory C Gibson', 'EmailAddress': 'greg.gibson@biology.gatech.edu', 'NSF_ID': '000490721', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303186395', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

[{'Code': '111200', 'Text': 'Genetic Mechanisms'}, {'Code': '112700', 'Text': 'Evolutionary Processes'}, {'Code': '126900', 'Text': 'STATISTICS'}, {'Code': '132900', 'Text': 'Plant Genome Research Project'}, {'Code': '139200', 'Text': 'Biological Anthropology'}]

2020~235844

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445639.xml'}

Unifying synthetic small regulatory RNAs

NSF

05/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'David Rockcliffe', 'PO_EMAI': 'drockcli@nsf.gov', 'PO_PHON': '7032927123'}

RNA is generally known as a messenger to carry genetic instructions from DNA, however, many small RNAs act as regulators controlling gene expression. Over the past two decades, researchers have engineered such regulatory RNAs and have built simple RNA-based genetic circuits in bacteria, nevertheless, the construction of complex RNA-based genetic circuits remains challenging. This project involves developing generalizable design principles by which simple RNA-based genetic circuits can be combined to generate complex genetic circuits. The utility of these complex circuits is demonstrated by engineering bacteria that produce valuable chemicals that contribute to the bioeconomy. In addition, this project provides unique interdisciplinary training opportunities for students, involving biophysics, biochemistry, molecular biology and engineering. An outreach program provides K-12 teachers with the materials to lead their students through lab activities, broadening student participation in science and engineering.<br/><br/>The past two decades have witnessed remarkable progress in understanding complex gene regulatory networks by building simpler genetic circuits from the bottom-up. However, RNA-based genetic circuits have seldom been built by integrating different types of RNA regulators that control multiple steps of gene expression (e.g., both transcription and translation). Consequently, RNA-based circuit complexity is limited. In this project, the investigators first build RNA-based gene expression controllers (GECs) that demonstrate consistently predictable behaviors regardless of connected genetic parts. Mathematical modeling is combined with experimental characterization in order to systematically connect different sensors to RNA regulators. Next, insights into the circuit integration rule are obtained first by quantitatively characterizing both integrated genetic programs and individual GECs then by comparing their behaviors before and after integration. Finally, based on the gathered design rules, dynamic pathway controllers are created to autonomously modulate metabolic pathways, demonstrating enhanced biochemical production. This interdisciplinary project provides the research community with a unified, standardized RNA regulator toolbox for fundamental research and biotechnological applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/27/2024

08/27/2024

None

Grant

47.074

1

4900

4900

2445717

{'FirstName': 'Tae Seok', 'LastName': 'Moon', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tae Seok Moon', 'EmailAddress': 'tsmoon7@gmail.com', 'NSF_ID': '000630249', 'StartDate': '08/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'J. Craig Venter Institute, Inc.', 'CityName': 'LA JOLLA', 'ZipCode': '920373498', 'PhoneNumber': '8582001864', 'StreetAddress': '4120 CAPRICORN LN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'FL8UNYTG72D1', 'ORG_LGL_BUS_NAME': 'J. CRAIG VENTER INSTITUTE, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'J. Craig Venter Institute, Inc.', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920373498', 'StreetAddress': '4120 CAPRICORN LN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '801100', 'Text': 'Systems and Synthetic Biology'}

2020~390636

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445717.xml'}

Conference: Logistic and Participant Support for the National Science Foundation and Science Foundation Ireland's Trans-Atlantic Challenges Workshop

NSF

09/01/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}

{'SignBlockName': 'Alias Smith', 'PO_EMAI': 'alismith@nsf.gov', 'PO_PHON': '7032928367'}

The earth’s grand challenges require new ways of thinking to advance technology for the benefit of our global community. One way is to create diverse research teams that can work together on compelling problems. This Workshop will bring together thought leaders from the United States (U.S.) and Ireland. Although Ireland is a small country, it punches above its weight as a leader in innovation and research and development, including in agri-food, life sciences, information and communication technology, and advanced manufacturing, among other areas. There are also strong industry connections between the U.S. and Ireland. The workshop will allow participants to examine, explore, and discuss what emerging research areas would most benefit both the U.S. and Ireland. The U.S. research community stands to benefit from strengthened collaboration pathways with the Irish research and innovation community, and this workshop will help enable this goal.<br/><br/>The integration of knowledge, methods and expertise from across science and engineering is not yet easily accomplished or commonplace. Progress is impeded by serial, unidirectional research approaches, which are typically conducted within rigid localized organizational structures (people, resources, tools, etc.). To address such problems on a global scale, the National Science Foundation (NSF) and the Science Foundation Ireland (SFI) are proposing a conference to bring together researchers. The three-day workshop would be hosted by SFI at their Headquarters in Dublin, Ireland in October of 2024. The objectives of the workshop are to: (1) Identify global challenges that large-scale collaborative research can help solve; and, (2) Identify potential mechanisms/models that would foster Trans-Atlantic interdisciplinary collaboration, leveraging the strengths of the U.S. and Irish research communities and industry partners. In support of NSF and SFI aims, VentureWell proposes to provide logistical and participant support to up to 20 researchers from the U.S. attending the conference as selected by NSF. The insights generated from this collaborative platform, which brings together academics and researchers, will be instrumental in shaping new approaches and structures for addressing significant problems, requiring convergent research teams. Participant interactions are expected to lay the foundation for cross-disciplinary centers focused on advancing fundamental knowledge and systems technology while exposing those engaged in the centers to the integrative aspects of technology research and development and industrial practice. The workshop will foster opportunities for networking among a diverse set of participants and spark new international research collaborations. It will further bring technology-based industry and university experts together to share knowledge and ideas that can help strengthen the competitive position of American industry in the global marketplace. Logistical and participant support, as well as clear documentation of the workshop, are essential to achieving these impacts.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/19/2024

08/19/2024

None

Grant

47.041, 47.070, 47.079

1

4900

4900

2445753

{'FirstName': 'Tara', 'LastName': 'Loomis', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tara A Loomis', 'EmailAddress': 'tloomis@venturewell.org', 'NSF_ID': '0000A03G4', 'StartDate': '08/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'National Collegiate Inventors and Innovators Alliance', 'CityName': 'HADLEY', 'ZipCode': '010359462', 'PhoneNumber': '4135872172', 'StreetAddress': '100 VENTURE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'D5S9JZ1KDP49', 'ORG_LGL_BUS_NAME': 'NATIONAL COLLEGIATE INVENTORS & INNOVATORS ALLIANCE, INC.', 'ORG_PRNT_UEI_NUM': 'D5S9JZ1KDP49'}

{'Name': 'National Collegiate Inventors and Innovators Alliance', 'CityName': 'HADLEY', 'StateCode': 'MA', 'ZipCode': '010359462', 'StreetAddress': '100 VENTURE WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}

[{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}, {'Code': '138500', 'Text': 'SSA-Special Studies & Analysis'}, {'Code': '748400', 'Text': 'IIS Special Projects'}]

2024~99598

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2445753.xml'}

RAPID: Short- and mid-term dynamics of microplastic transport in urban drainage systems after Hurricane Debby

NSF

09/01/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Karl Rockne', 'PO_EMAI': 'krockne@nsf.gov', 'PO_PHON': '7032927293'}

Past research has shown that hurricanes result in massive sewer overflows resulting in the release of pollutants to receiving waters. Such releases have the potential to create “hotspots” for microplastic release into the surrounding environment due to the high microplastic content in raw sewage. In August 2024, Hurricane Debby affected numerous urban population centers in the Florida Gulf, including Tallahassee, Florida. The processes affecting sewage overflows and runoff of accumulated microplastics from the land are poorly understood. The goal of this project is to assess the impact of hurricane-induced sewage overflows on microplastic release to the surrounding waters. Water samples obtained in a watershed impacted by sewage overflows from Hurricane Debby will be compared to those from systems that were not affected. These systems will be tracked over time to understand both short-term (days) and long-term (weeks) releases of microplastics following Hurricane Debby. The results will advance knowledge about the impact of hurricanes on microplastics release. More broadly, results will also help understand the impacts of hurricanes on water quality in urban drainage systems. Results from this study will inform efforts by urban water managers to prevent and mitigate releases from future hurricanes and other large flooding events.<br/><br/>Hurricanes in urban watersheds can cause massive sewer overflows resulting in the release of pollutants. While research has demonstrated the importance of hurricane induced sewage overflows on pollutant release, comparatively little is known about how this process affects microplastics release. The specific objectives of this research project are to understand: i) how hurricanes affect the mass of microplastics released from urban drainage systems during sewage overflows, ii) how microplastics releases vary with space and time, and iii) whether hurricane induced sewage overflows create microplastics hotspots in urban water systems. Samples will be obtained from various locations in a watershed experiencing sewage overflows impacted by Hurricane Debby. Results will be compared to samples obtained from non-impacted waterbodies. State of the science FTIR techniques will be used to measure microplastics concentrations and composition. Successful completion of this research will help understand the impact of hurricane and other extreme event-induced flooding has on microplastics release. Results will benefit society by informing efforts to prevent and mitigate the impact of releases from urban flooding, as well as guiding future responses to hurricanes to prevent water contamination in urban areas.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.041

1

4900

4900

2446126

[{'FirstName': 'Maryam', 'LastName': 'Salehi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maryam Salehi', 'EmailAddress': 'mshfp@umsystem.edu', 'NSF_ID': '000798602', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ebrahim', 'LastName': 'Ahmadisharaf', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ebrahim Ahmadisharaf', 'EmailAddress': 'eahmadisharaf@eng.famu.fsu.edu', 'NSF_ID': '000836592', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Florida State University', 'CityName': 'TALLAHASSEE', 'ZipCode': '323060001', 'PhoneNumber': '8506445260', 'StreetAddress': '874 TRADITIONS WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'FL02', 'ORG_UEI_NUM': 'JF2BLNN4PJC3', 'ORG_LGL_BUS_NAME': 'FLORIDA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Florida State University', 'CityName': 'TALLAHASSEE', 'StateCode': 'FL', 'ZipCode': '323060001', 'StreetAddress': '874 TRADITIONS WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'FL02'}

{'Code': '164200', 'Text': 'Special Initiatives'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446126.xml'}

Collaborative Research: Martensitic Transformations in Paraelectric Shape Memory Ceramics Activated by an Electric Field

NSF

10/01/2023

06/30/2026

{'Value': 'Continuing Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Nazanin Bassiri-Gharb', 'PO_EMAI': 'nbassiri@nsf.gov', 'PO_PHON': '7032922430'}

Non-Technical Summary<br/><br/>A martensitic transformation is a structure change that takes place in some crystalline materials, in which the atoms spontaneously and rapidly reshuffle into a new crystal structure in a coordinated way. In some materials this transformation is reversible, so that the material can repeatedly transform back and forth between two shapes, giving rise to the property of “shape memory”. In a martensitic ceramic like zirconia, the shape change is very large (elongating and contracting a shape by ~10%) and it also exerts very large forces. For this reason, shape memory materials are like “solid-state engines”, able to do work on their surroundings as actuators. What is more, it has been recently discovered that shape memory zirconia can be transformed by applying electric fields to it, which opens the door to electronic control over shape memory. With support from the Ceramics Program in the Division of Materials Research, this project investigates the new property of electrical shape memory in ceramics and develops tools to discover and design new ceramic materials that exhibit this property. The project consists of computational and theoretical efforts to understand how different parameters affect the martensitic transformation, led by Prof. Homer at Brigham Young University, and an experimental effort to validate the phase transformation theory for different orientations of the crystals, temperatures, and applied electric fields. This research to synthesize and test new prospective shape memory ceramics is carried out in Prof. Schuh’s research group at the Massachusetts Institute of Technology. This research has implications for actuator device technologies, which have not been as easily miniaturized as other electronic technologies. Additionally, the project will also provide scientific training for two PhD students, one at each institution, and outreach activities will involve a collaborative effort to strengthen the roll out of a Materials Science minor program at BYU to unify materials-oriented students that are spread across different majors on campus.<br/><br/>Technical Summary<br/><br/>Supported by the Ceramics Program in the Division of Materials Research, this project investigates a new class of shape memory ceramics in which the classical advantages of shape memory (the ability to do large amounts of mechanical work through a solid state phase transformation) are paired with a new mechanism for activating that property (an electric field-driven paraelectric-to-paraelectric phase transformation). Besides developing an entirely new class of “paraelectroactive” ceramics that can perform meaningful mechanical work and expanding the portfolio of electroactive ceramics, the research also has implications for the theory of phase transformations more broadly. The research involves four interrelated tasks: (1) developing and validating thermodynamic models that incorporate the coupled influence of electrical-thermal-mechanical energy on a paraelectric-to-paraelectric martensitic transformation; (2) examining the role of crystal orientation and anisotropic material properties on the predicted and observed phase transformation conditions; (3) exploring the role of dopants to control the transformation conditions and enable room temperature operation of this phenomenon; (4) expanding the materials-scope of the phenomenon by discovering alternative (non-zirconia) shape memory ceramics that exhibit paraelectric-paraelectric martensitic transformations. These tasks are collaboratively investigated with a primarily experimental effort in Prof. Schuh’s research group at the Massachusetts Institute of Technology and Prof. Homer’s research group mostly carrying out theoretical effort at Brigham Young University.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/21/2024

08/21/2024

None

Grant

47.049

1

4900

4900

2446761

{'FirstName': 'Christopher', 'LastName': 'Schuh', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher A Schuh', 'EmailAddress': 'schuh@mit.edu', 'NSF_ID': '000340304', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northwestern University', 'CityName': 'EVANSTON', 'ZipCode': '602080001', 'PhoneNumber': '3125037955', 'StreetAddress': '633 CLARK ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IL09', 'ORG_UEI_NUM': 'EXZVPWZBLUE8', 'ORG_LGL_BUS_NAME': 'NORTHWESTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

{'Code': '177400', 'Text': 'CERAMICS'}

2022~221081

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446761.xml'}

Collaborative Research: Calibration of Raman Spectroscopy for calcite saturation state in marine biogenic calcification

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Yurena Yanes', 'PO_EMAI': 'yyanes@nsf.gov', 'PO_PHON': '7032922649'}

Much of the anthropogenic CO2 released into the atmosphere has been absorbed by the ocean, which acts as a buffer against global warming and rapid climate change. But this makes seawater more acidic and corrosive to CaCO3 minerals (known as ocean acidification: OA), which is expected to harm marine organisms that build skeletons or shells from CaCO3 (marine calcifiers). Marine calcifiers typically grow their CaCO3 hard parts in a micro-scale “calcifying fluid (CF)” by modifying its chemistry from seawater to elevate the degrees of CaCO3 saturation (Ω). This process potentially enables calcifiers to cope with OA, at least to some extent. This research aims to establish the use of Raman Spectroscopy (RS) to constrain Ω of CF. Compared to other methods, this approach will be simple, rapid, and non-destructive to organisms and CaCO3 samples. This work will be a cornerstone for an important methodology that can advance knowledge on calcification mechanisms and resilience of marine calcifiers against OA. <br/><br/>Rapid precipitation of CaCO3 at higher Ω levels leads to greater structural disorder in the mineral lattice due to increased defects and kinetically-driven uptake of minor/trace elements (e.g., Mg). Thus, the degree of lattice disorder determined from the positional shift in and width of Raman peaks should be a function of Ω. This concept has been validated for aragonites and RS has been extensively used to constrain Ω of CF in aragonitic calcifiers. But in calcites, Mg inclusion by substitution of Ca also contributes to structural disorder significantly. This necessitates a correction for Mg-driven lattice disorder for effective use of RS on calcitic organisms, which is currently lacking. This research will produce an extensive set of abiogenic calcite samples that vary significantly in Mg contents and solution Ω for precipitation based on laboratory experiments using artificial seawater. These samples will disentangle the overlapping effect of Mg inclusion and Ω on calcite structural disorder. This investigation will for the first time generate Raman calibrations for Mg contents and Ω that are applicable to marine biogenic calcites. <br/><br/>This project is jointly funded by the Geobiology and Low-Temperature Geochemistry Program (GG), the Established Program to Stimulate Competitive Research (EPSCoR), and the Marine Geology and Geochemistry Program (MGG).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/25/2024

08/25/2024

None

Grant

47.050

1

4900

4900

2446763

{'FirstName': 'Thomas', 'LastName': 'DeCarlo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas DeCarlo', 'EmailAddress': 'tdecarlo@tulane.edu', 'NSF_ID': '000835246', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Tulane University', 'CityName': 'NEW ORLEANS', 'ZipCode': '701185665', 'PhoneNumber': '5048654000', 'StreetAddress': '6823 SAINT CHARLES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'LA01', 'ORG_UEI_NUM': 'XNY5ULPU8EN6', 'ORG_LGL_BUS_NAME': 'ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE', 'ORG_PRNT_UEI_NUM': 'XNY5ULPU8EN6'}

{'Name': 'Tulane University', 'CityName': 'NEW ORLEANS', 'StateCode': 'LA', 'ZipCode': '701185665', 'StreetAddress': '6823 SAINT CHARLES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'LA01'}

[{'Code': '162000', 'Text': 'Marine Geology and Geophysics'}, {'Code': '729500', 'Text': 'Geobiology & Low-Temp Geochem'}]

2023~117736

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446763.xml'}

Foams, Categorification, and Link Homology

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Joanna Kania-Bartoszynska', 'PO_EMAI': 'jkaniaba@nsf.gov', 'PO_PHON': '7032924881'}

Topology and geometry in low dimensions differ significantly from those in the stable, high-dimensional, range. One feature of low dimensions is the existence of deep structures known as TQFTs (Topological Quantum Field Theories), many originating in quantum physics and having applications to condensed matter, statistical mechanics and quantum field theory. The Prinicipal Investigator will be studying such topological theories of more general type, where the theory is known on topological objects without boundary (closed objects) and extended canonically to objects with boundary. These constructions proved fruitful for explicit combinatorial construction of link homology theories, where topological objects are foam-like two-dimensional structures embedded in 3-space. The author has recently shown that a semi-linear version of this construction in dimension one extends so-called finite state automata and regular languages, which is a classical subject in computer science. This opens possibility of many generalizations, including exploring connections between more general languages and topological theories and possible relations between two-dimensional theories and cellular automata. Further studies of topological theories and related topics of foams and link homology should lead to fruitful discoveries in low-dimensional topology and related fields.<br/><br/>More specifically, the project has three major goals. The first major goal is to further develop the theory of foams, their evaluations and applications in link homology and categorification. Foams are two-dimensional CW-complexes with generic singularities. They have proved instrumental in combinatorial approaches to GL(N) link homology theories and boast tantalizing connections to instanton Floer homology for orbifolds. The PI will further develop topological theories related to foams, with an eye towards technically difficult problems, such as computation of Kronheimer-Mrowka homology of embedded trivalent graphs and finding combinatorial counterpart of that homology. The second goal is to find approaches to several link homology theories, including Cautis, Webster and Qi-Sussan homologies, to establish their functoriality and extend to tangles and tangle cobordisms. A number of important link homology theories, including triply-graded HOMFLYPT homology, Webster, Cautis, and Qi-Sussan homology, are missing a functorial extension to tangle cobordisms and, in most cases, a related extensions to tangles. The PI will develop new approaches to these homology theories to redefine them, repair functoriality where necessary, and extend them to link cobordisms. The third goal is to understand universal theories in low dimensions. The PI will continue studying universal construction of topological theories, motivated by recent successes such as the interpretation of finite state automata and regular languages via one-dimensional topological theories with defects and taking values in the Boolean semiring B, where a regular language and a circular regular language give rise to a rigid symmetric monoidal B-linear category.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/28/2024

08/28/2024

None

Grant

47.049

1

4900

4900

2446892

{'FirstName': 'Mikhail', 'LastName': 'Khovanov', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mikhail G Khovanov', 'EmailAddress': 'khovanov@math.columbia.edu', 'NSF_ID': '000116638', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

[{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}, {'Code': '126700', 'Text': 'TOPOLOGY'}]

2022~63236

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446892.xml'}

Collaborative Research: HCC: Small: Robot-Rooms: Giving Form to Domestic Activity, On the Go

NSF

08/15/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Todd Leen', 'PO_EMAI': 'tleen@nsf.gov', 'PO_PHON': '7032927215'}

This project’s goal is to explore how robotic systems could become deeply integrated into people’s living and working spaces via “robot-rooms”. People are increasingly using technologies such as voice assistants and intelligent thermostats to customize and interact with spaces; the project team’s vision is to use robotic surface technologies they have developed to allow the room itself to change configuration and physically interact with occupants. This scenario may have benefits in a number of contexts: houses that adapt to facilitate family and individual interaction; workspaces that automatically adjust to an individual’s abilities and tasks to make work more comfortable and efficient; hotels and apartments that can adapt to many different visitors in a short time; museum exhibits that provide a wide variety of immersive experiences; and many others. The team plans to implement multiple prototypes to both explore these possibilities and to support outreach activities aimed at encouraging youth to enter robotics-related careers and to raise public awareness of the possibilities of robots in everyday life. <br/><br/>In the project, the team will develop: (a) a design space of possibilities for what characterizes a robot-room, informed by human needs and wants; (b) a working prototype, and (c) a deep understanding of how inhabitants are supported and augmented by a robot-room, following real-world scenarios. Specifically, the investigators will conduct a user-experience study to investigate the experiences of participants interacting with prototypes representing two robot-room concepts using rapid prototyping techniques. The results of this study will form the basis for the development of a full-scale robot-room prototype. Ongoing interaction studies will iterate the robot-room prototype through cycles of evaluation with respect to its usability, performance, and efficacy. Ultimately, the robot-rooms investigated in this project will prove an impactful form of robotics as we enter a extend beyond current conceptions of productivity and play, defined by intimate collaborations between people and machines, and a novel paradigm for human-computer interaction in which the interaction is with a machine that physically envelops people.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/22/2024

08/22/2024

None

Grant

47.070

1

4900

4900

2446893

{'FirstName': 'Ian', 'LastName': 'Walker', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ian D Walker', 'EmailAddress': 'iwalker@clemson.edu', 'NSF_ID': '000373849', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Wyoming', 'CityName': 'LARAMIE', 'ZipCode': '820712000', 'PhoneNumber': '3077665320', 'StreetAddress': '1000 E UNIVERSITY AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wyoming', 'StateCode': 'WY', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'WY00', 'ORG_UEI_NUM': 'FDR5YF2K32X5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WYOMING', 'ORG_PRNT_UEI_NUM': 'FDR5YF2K32X5'}

{'Name': 'University of Wyoming', 'CityName': 'LARAMIE', 'StateCode': 'WY', 'ZipCode': '820712000', 'StreetAddress': '1000 E UNIVERSITY AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wyoming', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'WY00'}

{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}

['2022~81131', '2023~8000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446893.xml'}

LTREB: Collaborative Research: Long-term changes in peatland C fluxes and the interactive role of altered hydrology, vegetation, and redox supply in a changing climate

NSF

08/15/2024

07/31/2025

{'Value': 'Continuing Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Matthew Kane', 'PO_EMAI': 'mkane@nsf.gov', 'PO_PHON': '7032927186'}

Globally important carbon (C) stores in northern (boreal) peatlands are vulnerable to changes in altered precipitation and runoff patterns, groundwater inputs, and changes in the extent of frozen ground in high latitudes (called ‘permafrost’, or the ‘cryosphere’). These changes can affect the extent of boreal wetlands as well as their ability to sequester and transform C and other nutrients. In 2005, the Alaska Peatland Experiment (APEX) was created to examine the role of changing soil climate and vegetation on peatland C cycling. Over the past fifteen years, core data has been collected on soil moisture and temperature, plant composition and amount, and the fluxes of important atmospheric gases emitted (as methane and carbon dioxide) from water table treatments that simulate floods and droughts. A key result from this group's prior investigations was that C emissions from this experimental site appeared to be high, regardless of water table position, revealing that interactions among changes in plant species composition in response to the treatments were strongly controlling the ability of this ecosystem to retain C. This is a five-year renewal of a Long-Term Research in Environmental Biology (LTREB) project, DEB-1354370. The study is examining the interactions among changes in hydrology, plant species composition and changes in climate (particularly flooding and drought) in controlling C storage in this peatland complex; this work is necessary for understanding the consequences of an altered climate for C cycle processes. Undergraduates, graduate students and post-doctoral researchers will all be trained and in field and laboratory techniques. Results from the research will also be incorporated into new high school curricula for use in the Fostering Science summer camp.<br/><br/>The current view of peatland carbon cycling is that the majority of soil carbon mineralization occurs in the relatively shallow aerated peat layer above the water table (acrotelm), and that deeper peat carbon occurring in anoxic layers (catotelm) undergoes minimal decomposition. As such, the position of the water table (and the associated thickness of the acrotelm) is used as a predictor of overall decomposition rates and long-term peat accumulation rates. However, findings from this team's fifteen-year manipulation of water table position in an Alaskan fen (Alaska Peatland Experiment, APEX) challenge this view, and in particular suggest that carbon mineralization in saturated peat is faster than previously expected, leading to high fluxes of anaerobic CO2 production. Prior analyses indicated no significant effect of water table position on ecosystem respiration, but it is possible that this result was due at least partially to changes in vegetation that have occurred both under lower (drier) and higher (wetter) water table positions. The initial experimental design could not disentangle the effects of changes in vegetation from hydrology on peat redox and C fluxes. As such, understanding the interactive effects of altered hydrology and vegetation on anaerobic decomposition processes, and how this governs the turnover of deep soil C pools in peatlands, was the prime objective of the first phase of LTREB funding. Results during that initial LTREB funding period showed that sedge and Equisetum (horsetail) rhizospheres indeed had oxidizing effects on peat and dissolved organic matter. However, persistent flooding over this period of research has presented key gaps in mechanistic understanding of controls on trace gas production in this system, and revealed that plant community structure and the dominance of algae likely have unique controls on soil redox processes and C fluxes. Flooding history also exerted strong control over the relative activity of algae vs. heterotrophic microorganisms, depending on changes in C substrates from different plants. Exactly how changes in plant community interact with altered water tables in governing the supply of electron donors and acceptors, and how this controls anaerobic metabolism in low- and high-water table years, are key questions this collaborative team will examine in the next five years.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/20/2024

08/20/2024

None

Grant

47.074

1

4900

4900

2446948

{'FirstName': 'Kevin', 'LastName': 'Wyatt', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin H Wyatt', 'EmailAddress': 'wyatt.268@osu.edu', 'NSF_ID': '000639957', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'The Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '738100', 'Text': 'Ecosystem Science'}

2021~18947

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2446948.xml'}

State Response to Climate Instability

NSF

07/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'John Yellen', 'PO_EMAI': 'jyellen@nsf.gov', 'PO_PHON': '7032928759'}

An international team will investigate how an ancient community adapted their social relationships and subsistence strategies to overcome disappearing water resources and increasing economic pressures during a period of early state formation. The researchers seek to understand how communities come together to negotiate socially complex relationships in order to overcome outside pressures, such as adverse climate conditions and demand from regional trade networks. The archaeological framework will provide in-depth case studies that tell the story of how community members adapt their daily lives within these changing circumstances, and how their choices to collaborate or compete with the environment affect the trajectory of their survival. Settlement archaeology, in particular, gives insight through a detailed, intersectional record of how people constructed their built landscape through agriculture, animal husbandry, tool and craft production, and trade networks. Archaeological research offers a complimentary benefit of building modern community relationships, a top priority for this project, where neighboring stakeholders will be consulted in the development and interpretation of the research process. This project will center the relevancy of the research outputs by ensuring the full incorporation of modern community members’ voices through research-focused input meetings, ethnographic interviews about analogous current daily-life practices, and participation in archaeological interpretation outcomes. The researchers will undertake special effort to encourage the full participation of local women, who are often excluded in archaeological work. This will be achieved by building collaborative training resources produced by the international majority-women excavation team and archaeology undergraduate students from the grant's managing institution, a historically-women’s college.<br/><br/>An international team of experts will analyze complementary lines of evidence: architectural developments, material culture production, pottery design and exchange, use of cultivated and wild plants, domesticated livestock and hunting, supported by geo- and hydro-archaeological models of environmental conditions. Interpretation will focus on the agency-based active resilience of ancient community members, rather than a passive adaptation to increasingly arid conditions in the region. The broader impact of this project will include open-access publication of the detailed archaeological and ecofact sequence data to allow for regional comparative studies. Collaboration with international societies will create shared approaches to community based participatory archaeology that can be successfully applied globally.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/25/2024

08/25/2024

None

Grant

47.075

1

4900

4900

2447174

{'FirstName': 'Elizabeth', 'LastName': 'Minor', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth J Minor', 'EmailAddress': 'eminor@wellesley.edu', 'NSF_ID': '000781938', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'ZipCode': '934079000', 'PhoneNumber': '8057562982', 'StreetAddress': '1 GRAND AVE BLDG 15', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'MC4RJJM9XLT5', 'ORG_LGL_BUS_NAME': 'CAL POLY CORPORATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'StateCode': 'CA', 'ZipCode': '934079000', 'StreetAddress': '1 GRAND AVE BLDG 15', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

{'Code': '139100', 'Text': 'Archaeology'}

2022~268083

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2447174.xml'}

CRII: CNS: Secure Decentralized AI in Heterogeneous IoT Networks: Foundation and Application

NSF

08/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Marilyn McClure', 'PO_EMAI': 'mmcclure@nsf.gov', 'PO_PHON': '7032925197'}

Under the emergence of the Internet of Things (IoT), tremendous amounts of data have been generated in a distributed manner from IoT devices, e.g., smart sensors, smartphones, cameras, etc. To effectively learn the patterns among such distributed data, distributed learning/federated learning frameworks have been explored to effectively utilize the distributed/decentralized data resource. However, the current distributed learning systems over IoT face inevitable challenges, mainly categorized into security, privacy, compatibility, and efficiency. For instance, first, the success of most existing learning systems relies heavily on a central server to coordinate the learning process. Second, traditional distributed learning requires the data on different devices to be in the same type/dimension. Third, the learning efficiency of the existing frameworks is another major concern. This work aims to systematically design a secure and fully decentralized learning method over IoT devices that enables the system to learn patterns from heterogenous data, i.e., data in different types/dimensions. This work will also deploy the developed method on a decentralized platform, i.e., blockchain, and design corresponding system protocols to eliminate the need to use a central server as in traditional distributed learning. On the other hand, the proposed system aims to exploit potential system vulnerabilities, develop attack and defense mechanisms, and theoretically analyze the system's reliability. Moreover, this work lays the groundwork for system research in dense IoT applications supported by decentralized learning. It generates preliminary experimental data necessary to develop an independent and competitive research agenda.<br/> <br/>This work will extend the traditional distributed/federated learning into a more general and practical scenario under IoT, where various types of data and IoT devices exist in the system. This work will also enhance the reliability of learning performance when a certain portion of the data in the network is attacked/malicious. Additionally, this work is potentially transformative as it may help generate innovative and secure decentralized deep learning techniques for numerous applications, e.g., smart cities, smart homes, and mobile health, since the proposed system can effectively utilize heterogeneous resources. It could also have significant impacts on research in transforming the existing centralized or distributed smart applications into a fully decentralized manner with security and performance guarantees. To address the education and social aspects, this project aims to provide students with resources to pursue advanced degrees and careers in STEM. This work plans to engage students from underrepresented groups as a part of a continuous effort to broaden participation in computing and develop advanced graduate-level courses to introduce new trends and cybersecurity challenges in future decentralized artificial intelligence over IoT.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/28/2024

08/28/2024

None

Grant

47.070

1

4900

4900

2447364

{'FirstName': 'Qianlong', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Qianlong Wang', 'EmailAddress': 'q1wang@odu.edu', 'NSF_ID': '000893378', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Old Dominion University Research Foundation', 'CityName': 'NORFOLK', 'ZipCode': '235082561', 'PhoneNumber': '7576834293', 'StreetAddress': '4111 MONARCH WAY', 'StreetAddress2': 'STE 204', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'VA03', 'ORG_UEI_NUM': 'DSLXBD7UWRV6', 'ORG_LGL_BUS_NAME': 'OLD DOMINION UNIVERSITY RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': 'DSLXBD7UWRV6'}

{'Name': 'Old Dominion University', 'CityName': 'NORFOLK', 'StateCode': 'VA', 'ZipCode': '235290001', 'StreetAddress': '5115 Hampton Blvd.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'VA03'}

{'Code': '735400', 'Text': 'CSR-Computer Systems Research'}

2023~145830

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2447364.xml'}

Collaborative Research: SaTC: CORE: Medium: Security and Robustness for Intermittent Computing Using Cross-Layer Post-CMOS Approaches

NSF

08/15/2024

09/30/2026

{'Value': 'Continuing Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Anna Squicciarini', 'PO_EMAI': 'asquicci@nsf.gov', 'PO_PHON': '7032925177'}

This research project is at the forefront of addressing security vulnerabilities in resource-limited, normally-off energy harvesting devices widely utilized across various Internet of Things (IoT) applications. Ranging from wearable devices to remote sensing and industrial systems, the potential impact of securing these devices is significant. The project's novelties are its focus on discovering the inherent vulnerabilities of these devices, including physical attacks, unanticipated power outages and failures, and other unique threats, and proposing effective solutions for them. Exploiting these vulnerabilities could lead to irreparable damage to property and lives, considering the extensive network of connected devices. The project's broader significance and importance lie in the critical need for comprehensive, lightweight defense strategies, as the existing ones either exhibit high overheads or are incomplete, rendering them unfit for resource-constrained nodes.<br/><br/>The technical approach of this research revolves around the development of Secure Intermittent-Robust Computation (SIRC) for these computing nodes. This is achieved by capitalizing on emerging non-volatile (NV), spin-based devices to construct lightweight reconfigurable logic. The assurance of intermittent-robust computation during various attacks is facilitated by storing intermediate circuit values in NV devices. Concurrently, the research employs innovative circuit-architecture-algorithm techniques, promising notable advances in the domain of IoT security. This research effectively bridges the gap between the ever-present security threats and the limitations of current defense schemes, marking a significant stride toward the resilient future of IoT applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/28/2024

08/28/2024

None

Grant

47.070

1

4900

4900

2447566

{'FirstName': 'Arman', 'LastName': 'Roohi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arman Roohi', 'EmailAddress': 'aroohi@unl.edu', 'NSF_ID': '000827094', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606124305', 'PhoneNumber': '3129962862', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': 'W8XEAJDKMXH3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606124305', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'IL07'}

{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}

2023~263830

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2447566.xml'}

Graduate Research Fellowship Program (GRFP)

NSF

09/01/2024

08/31/2029

{'Value': 'Fellowship Award'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Jong-on Hahm', 'PO_EMAI': 'jhahm@nsf.gov', 'PO_PHON': '7032928013'}

The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is a highly competitive, federal fellowship program. GRFP helps ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) and in STEM education. The GRFP provides three years of financial support for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM and STEM education. This award supports the NSF Graduate Fellows pursuing graduate education at this GRFP institution.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/23/2024

08/23/2024

None

Grant

47.076

1

4900

4900

2447872

{'FirstName': 'Gordana', 'LastName': 'Vlahovic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gordana Vlahovic', 'EmailAddress': 'gvlahovic@nccu.edu', 'NSF_ID': '000251982', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'North Carolina Central University', 'CityName': 'DURHAM', 'ZipCode': '277073129', 'PhoneNumber': '9195307333', 'StreetAddress': '1801 FAYETTEVILLE ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'L1DXXP1KGP77', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA CENTRAL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'North Carolina Central University', 'CityName': 'DURHAM', 'StateCode': 'NC', 'ZipCode': '277073129', 'StreetAddress': '1801 FAYETTEVILLE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}

{'Code': '717200', 'Text': 'Graduate Research Fellowship'}

2024~53000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2447872.xml'}

Collaborative Research: SaTC: CORE: Medium: From Distributed Cryptography to Blockchain and Back

NSF

08/15/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Phillip Regalia', 'PO_EMAI': 'pregalia@nsf.gov', 'PO_PHON': '7032922981'}

Secure distributed computation has long been a common “playground” for cryptography and distributed computing/systems research. Despite novel ideas flowing in both directions and central questions such as resilience to misbehavior and efficiency being treated by both communities, the difference in focus and the aimed properties have resulted in distinct approaches and considerable gaps in terminology, models, definitions and overall language. This mismatch is ever more present in emerging technologies such as blockchain and decentralized ledgers (DLT). The project’s novelties are: (1) a common blockchain-focused language for cryptography and distributed computing and translations of results to this common language; and (2) the study of feasibility, scalability, and efficiency of both classical distributed-cryptography primitives and blockchain-inspired ones, in models that better capture the challenges and idiosyncrasies of the latter. The project’s impacts are to forment collaborations that will ensure a holistic approach to the modern challenges posed by the above emerging technologies thus avoiding pitfalls that can hinder these technologies’ potential. The study of cryptographic hardness and decentralized trust assumptions can lead to a more flexible yet realistic and secure cyberspace. This project will actively promote an interdisciplinary research agenda focused on these technologies at Purdue, Texas A&M, and Northeastern, and will actively pursue inclusion to computer science research of underrepresented groups in the field. <br/><br/>A bit more concretely, the goal of this project is to address the above challenges by (1) creating a framework suitable for expressing foundational and modern questions from both cryptography and distributed computing, without ignoring privacy or computational considerations, a paradigm that is termed distributed cryptography, and theoretical transformations (“compilers”) for importing classical results into this framework, and further extending them under the cryptographic lens; (2) investigating feasibility, scalability, and efficiency of distributed cryptography primitives, such as secure multi-party computation, in models of execution and under assumptions inspired by DLT protocols; and (3) investigate how the paradigm of relying on a sparse resource, which is central in the blockchain literature (e.g., hashing power in proofs of work- and stake in proofs of stake-based protocols) can generically reshape distributed cryptography and allow us to circumvent long-standing impossibility results.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/28/2024

08/28/2024

None

Grant

47.070

1

4900

4900

2448339

{'FirstName': 'Vasileios', 'LastName': 'Zikas', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Vasileios Zikas', 'EmailAddress': 'vassilis.zikas@gmail.com', 'NSF_ID': '000704877', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303186395', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}

2021~160493

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2448339.xml'}

Collaborative Research: MSA: Upscaling soil organic carbon measurements at the continental scale: Evaluating emergent ecosystem properties using multivariate quantitative methods

NSF

09/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Matthew Kane', 'PO_EMAI': 'mkane@nsf.gov', 'PO_PHON': '7032927186'}

Increase in atmospheric carbon dioxide (CO2) is a major cause of global climate change. One of the most effective nature-based solutions to this challenge lies right under our feet - the soil. Globally, soil contains more carbon than in the Earth's atmosphere and vegetation combined. National and international initiatives are in place to increase soil organic carbon (SOC) content and storage capacity to combat climate change. The multifaceted benefits of SOC storage can also ensure food and nutritional security for the Earth's human population and help meet many of the United Nations Sustainable Development goals. However, it is not clear how long soil can provide these ecosystem services to our global community. This is partly because SOC data available from various sources and predictions based on computer models don’t agree with each other. This project aims to provide a robust estimate of SOC for the conterminous United States (CONUS), which can help identify potential reasons for inconsistency across different models and ultimately facilitate policy-makers in making informed decisions about climate change. It will also offer research training opportunities for students as well as workshops and training courses for teachers.<br/> <br/>For the U.S., there is a unique opportunity to use spatial clustering approaches to reduce uncertainties in SOC dynamics and constrain models at the continental scale by upscaling site-based measurements across the National Ecological Observatory Network (NEON). Emergent ecosystem properties will be evaluated by using multivariate quantitative methods to extrapolate or interpolate point-scale SOC measurements from a spatial constellation of NEON terrestrial sites to CONUS. Data collected across NEON terrestrial sites will be coupled with an array of multivariate geographic clustering algorithms (k-means clustering, ensemble clustering) and machine-learning (convolutional neural network, artificial neural network) approaches. These quantitative analyses will also enable uncertainty quantification of spatial representativeness of SOC and help identify potential future relocatable (or mobile) sites for additional ground-truth measurements of variables related to terrestrial C cycle processes. Existing NEON biogeochemistry, microbial, hydrology, sensor, and remote sensing data products will be leveraged to produce quantitative SOC regional maps for CONUS using similar combinations of climatic, ecological, environmental, geochemical, and microbial variables. The algorithms developed with NEON data will be validated with other point-scale data like SoDaH (SOils DAta Harmonization database) and ISNC (International Soil Carbon Network). The spatial mismatch of derived representativeness-based SOC regional maps for CONUS will be evaluated with existing gridded databases: SoilGrids, Harmonized World Soil Database (HWSD), Northern Circumpolar Soil Carbon Database (NCSCD), and gridded U.S. Soil Survey Geographic Database (gSSURGO).EON-based SOC regional maps for CONUS will also be integrated with downscaled historical SOC predictions from participating models of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The robust (and scalable) estimate of SOC for CONUS will enable the diagnosis of terrestrial C cycle processes using historical CMIP6 model runs. Broader impacts will involve training opportunities at the undergraduate and graduate levels, and workhops and training courses to teach data analysis workflow methods.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/28/2024

08/28/2024

None

Grant

47.074

1

4900

4900

2448419

{'FirstName': 'Debjani', 'LastName': 'Sihi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Debjani Sihi', 'EmailAddress': 'debjani.sihi@emory.edu', 'NSF_ID': '000841887', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NVH931QJJ3'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'StateCode': 'NC', 'ZipCode': '276950001', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NC02'}

{'Code': '795900', 'Text': 'MacroSysBIO & NEON-Enabled Sci'}

2021~20949

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2448419.xml'}