Project Grant 2414918
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$544K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $329,020.00 to the Regents of the University of Michigan to develop new analytical tools for making informed decisions based on complex, high-dimensional unstructured data such as text, images, and gene expressions. The project aims to enhance current methods in machine learning and causal inference, enabling more reliable and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $175,000 to the Regents of the University of Michigan - Flint will support research to understand how the framing of news stories changes as they are shared on social media. The research team will develop a dataset of news stories and social media posts, then use machine learning models to analyze how the framing of events evolves as content is...
The National Science Foundation (NSF) awarded a $307,284 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Regents of the University of Michigan Office of Research and Sponsored Projects (doing business as University of Michigan) to conduct a collaborative research study titled "HNDS-R: Stepping Out of Flatland: Complex Networks, Topological Data Analysis, and the Progress of Science." The 3-year project, beginning September 1, 2023, will use...
This National Science Foundation (NSF) Division of Social and Economic Science award, under the CFDA 47.075 Social, Behavioral, and Economic Sciences program, provides $503,800 to the University of Michigan to research using artificial intelligence (AI) and machine learning to improve job matching for low-skilled workers displaced by the COVID-19 pandemic. The 2-year project will use a randomized controlled trial to evaluate whether AI-assisted algorithmic matching of jobseeker skills and...
The National Science Foundation awarded a $250,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into a new paradigm for distributed information processing, simulation and inference in networks through application of the "law of small numbers." The University of Michigan will leverage its expertise in computing and communications foundations to...
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 $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 $599,411 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a "Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences." The project aims to create advanced artificial intelligence (AI) and machine learning (ML) models that can make accurate predictions while also providing transparent, scientifically-grounded rationales for their outputs. This...
This National Science Foundation (NSF) Project Grant award for $106,291, under the Mathematical and Physical Sciences program (CFDA 47.049), will support research to extend classical extreme value theory to models with interdependent numerical values and mean-field interaction. The project aims to study the convergence of upper and intermediate order statistics of certain systems of stochastic differential equations as their size grows, with applications in finance, medicine, and other...