Project Grant 2533551
- This federal Project Grant award of $320,000, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, is for a collaborative research project to design and develop a data-driven, AI-augmented paradigm to investigate the intersection of poverty-driven food insecurity and the opioid crisis. The goal is to develop integrated, personalized interventions to address this intertwined societal challenge and enhance public health,...
- This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will build an artificial intelligence (AI) infrastructure to support research on social policy and poverty reduction. The $142,000 award to Trustees of Dartmouth College will develop a novel, trustworthy AI system that 1) integrates and processes diverse policy-related datasets, 2) creates AI models to learn from existing policies and provide...
- This National Science Foundation Project Grant of $1,399,989 awarded on October 1, 2021 will fund the development of artificial intelligence-based decision support tools to enable more equitable and resilient food distribution during pandemics and extreme weather events through March 31, 2024. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070), which supports research and education activities in all areas of computing, communications, and...
- The National Science Foundation (NSF) awarded a $200,814 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Southern California (USC) for the "SCC-IRG TRACK 2: FOOD ENVIRONMENT DYNAMICS (FED): LEVERAGING AI AND HUMAN MOBILITY DATA TO ADDRESS DISPARITIES IN FOOD ACCESS AND IMPROVE AMERICANS' DIETS" project. This 3-year project, running from Oct 1, 2024 to Sep 30, 2027, will use artificial intelligence and human mobility data from...
- This $299,977 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address challenging societal problems in the areas of drought resilience, emissions reduction, and infectious disease response. The overarching goal is to establish theoretical and algorithmic foundations for responsible and equitable AI-powered sequential, collective decision-making. The...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $158,000.00 to The Rand Corporation to build an artificial intelligence (AI) infrastructure that enhances access to computational power, datasets, and models to support research on social policy and poverty reduction. The project aims to: 1) integrate, curate, and process diverse policy-related datasets; 2) develop and facilitate access to...
- This Project Grant award, valued at $325,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Washington. The project develops powerful new tools for understanding complex data, leveraging cutting-edge artificial intelligence (AI) techniques to help data analysts across diverse fields make informed, automated decisions. The research introduces novel approaches to analyze messy, heterogeneous, and large...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,392, aims to build a collaborative mechanism for academia, industry, and the public sector to co-design research and development (R&D) directions for data systems and artificial intelligence (AI) to address scientific and societal challenges. The project, led by the Regents of the University of Michigan, will bring together data science and...
- This Project Grant award, titled "ENABLING A SAFE AND DIRECTIVE MULTI-MODAL FOUNDATION MODEL ECOSYSTEM FOR FOOD SCIENCE RESEARCH", is funded by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $599,721 award, granted to the University of California, Davis (UC Davis), aims to establish a secure, easy-to-use ecosystem that (i) profiles multi-modal large language models on their effectiveness,...
- The National Science Foundation awarded a $744,721 project grant under the Technology, Innovation, and Partnerships program (CFDA 47.084) to the University of California, San Francisco on December 15, 2022 with a completion date of November 30, 2023. The grant funds the Network of User-Engaged Researchers Building Interdisciplinary Scientific Infrastructures for Healthy Food (NOURISH) project. NOURISH aims to develop technical solutions to transform "food swamps" saturated with...
This $180,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is for a collaborative research project to develop a data-driven, AI-powered system to investigate the nexus of poverty-driven food insecurity and the opioid crisis. The goal is to design integrated, personalized interventions to address these intertwined societal challenges and enhance national public health, safety, and welfare. The award, with a performance period from November 1, 2025 to October 31, 2028, will be executed by the University of Connecticut (UConn). The project outcomes, including open-source code, benchmark data, models, and research findings, will be made publicly accessible to broadly distribute the innovations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $180.0k | 7/31/25 |