Project Grant 2407136
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$431K
Federal Agency
Division of Astronomical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Ann Arbor, MI 48109, USA
Similar Awards
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 $148,654 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to develop statistical tools to improve the reliability of artificial intelligence (AI) systems used in real-world applications like automated decision-making, financial forecasting, and neuroscience research. The research will focus on establishing mathematically rigorous methods for uncertainty quantification to build trustworthy AI, with applications in enhancing...
This $457,976 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a novel framework for constraining models of baryonic feedback in the universe. The research team at the University of Chicago will apply artificial intelligence and machine learning techniques to data from cosmic microwave background and galaxy surveys to gain insights into the...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will provide $441,404 to the University of California, Berkeley to conduct research on making medical decision-making more equitable. The research aims to: 1) detect bias in human medical decision-making, 2) build algorithmic decision-aids to reduce human bias, and 3) make algorithmic decision-making more equitable. The project will focus on three...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $300,000 to the Regents of the University of Michigan to design, develop, and deploy artificial intelligence (AI) responsibly. The key objectives are to: (1) establish a baseline understanding of AI, its current use, and impact on communities; (2) shift towards more responsible, community-focused research and development in AI; (3) identify and...
This $331,698 National Science Foundation project grant supports research at Michigan State University to develop fair machine learning systems through improved data representations. Specifically, the Computer and Information Science and Engineering grant will fund research to study fundamental tradeoffs between utility and fairness in different data representations. The researchers will identify solutions to reduce gaps in achieving optimal tradeoffs and develop new representations and...
This Project Grant award of $435,369.00 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Houston System. The project aims to develop a computational framework for addressing data challenges in achieving fairness in machine learning, particularly in high-stakes applications such as healthcare informatics and disaster resilience. The research objectives include...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $373,667 to Emory University for research on understanding and mitigating bias in artificial intelligence models for infectious disease spread prediction. Over a three-year period from April 2023 through March 2026, the grantee will develop an AI system to predict the spatial and temporal spread of...
The National Science Foundation (NSF) awarded a $309,517 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Berkeley. The grant supports the development of artificial intelligence (AI) methods for analyzing data from weak gravitational lensing surveys, which can provide insights into the nature of dark matter and the structure of the universe. The research aims to advance simulation-based inference techniques, including...
This Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to advance artificial intelligence (AI) and optimization through the study of partial differential equations (PDEs) on Wasserstein space. The award recipient, the Regents of the University of Michigan, will conduct theoretical analysis of master equations and particle systems to address key challenges in AI, including derivative-free...