Project Grant 2615553
- The National Science Foundation Division of Computing and Communication Foundations awarded Cornell University $413,823 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on generative AI's impact on online communities. The project studies how generative AI adoption affects content creation, community participation, governance practices, content evaluation, and outcomes across multiple widely-used online...
- The National Science Foundation Division of Computing and Communication Foundations awarded $384,398 to the Regents of the University of Michigan on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for theoretical and algorithmic research on diffusion models in generative artificial intelligence. The project, titled "Towards Theoretical and Algorithmic Foundations of Diffusion Models," aims to establish mathematical and computational...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $367,296 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop generative artificial intelligence systems that simulate four-dimensional environments while respecting physical constraints. The research addresses a critical gap in current AI video-generation and physics-simulation models, which typically...
- The National Science Foundation Division of Computing and Communication Foundations awarded $172,809 to the Regents of the University of Michigan on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and evaluate tutoring-based models for teaching generative AI coding skills to non-computing majors across three institutions of higher education. The project implements three distinct approaches for providing campus-wide support to help...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded Michigan State University $914,904 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate how rural communities in Michigan's manufacturing and agricultural regions respond to workplace automation. The research employs a two-phase, mixed-methods approach grounded in community-centered design. Over 24 months, the team will conduct ethnographic...
- The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
- The National Science Foundation Division of Information and Intelligent Systems awarded $400,000 to the Regents of the University of Michigan on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on neuro-AI foundations for long-range dependency tasks. The project develops spiking neural networks (SNNs) that efficiently handle long-range dependencies and generative tasks in edge-based AI systems by reconceptualizing SNNs...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of Michigan $150,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical foundations for reinforcement learning and generative artificial intelligence systems. The project will use stochastic analysis, stochastic control, probability theory, and optimization to establish theory and algorithms for continuous-time reinforcement...
- Federal Grant Award Summary The University of Michigan received a $155,000 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), effective October 1, 2025 through September 30, 2027. This collaborative research initiative develops generative artificial intelligence (GenAI) methods to enhance machine learning-based security classifiers by addressing data challenges in...
The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $286,177 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to research the wide-scale impact of generative AI on online communities. The project will study how generative AI tools affect content creation and participation patterns in online communities, the practice and effectiveness of community governance, how community members evaluate AI-generated content, and the resulting outcomes for both individual members and communities as a whole. The research team will examine multiple widely-used online community platforms representing a range of platform designs and community goals to develop generalizable insights about generative AI's societal impact. The study employs mixed methods including qualitative semi-structured interviews with community participants and leaders, quantitative techniques such as interrupted time series analysis of community activity logs, temporal analysis, and expert judgment by community leaders to assess AI-generated content presence in the absence of robust automated detection methods. Work is performed in Ann Arbor, Michigan, with a performance period from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $286.2k | 7/26/26 |