Project Grant 2552068
- Federal Project Grant Award Summary Michigan State University received a $268,000 Project Grant awarded October 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), Division of Information and Intelligent Systems. This collaborative research project, titled "Advancing Large Language Model Unlearning: Foundations and Applications," will develop foundational research and algorithmic frameworks to enable the...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Social, Behavioral and Economic Science awarded $500,000 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Michigan for a project grant beginning September 15, 2025, with completion targeted for August 31, 2027. The project develops artificial intelligence technology, specifically leveraging large language models (LLMs), to extract and analyze key information from video...
- Federal Project Grant Award Summary Michigan State University received a $600,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded August 1, 2025, with completion anticipated July 31, 2028. The project, titled "III: SMALL: Enhancing Adversarial Robustness of Geospatio-Temporal Models," will develop robust artificial intelligence (AI)-based...
- Federal Project Grant Award Summary Michigan State University received a $245,618 CAREER Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070: Computer and Information Science and Engineering) effective October 1, 2025, through September 30, 2027. Funded in part under the American Rescue Plan Act of 2021, this award supports the development of methods to design and evaluate Information and Communication Technology (ICT) measurement...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded a $600,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Michigan-Dearborn effective July 1, 2026, through June 30, 2029. This research initiative addresses configuration drift detection in DevOps (Development and Operations) environments—a critical challenge affecting software system reliability across...
- Federal Grant Award Summary The University of Michigan received a $102,399 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 15, 2025, with a completion date of July 31, 2027. This planning grant supports the development of an AI-ready testbed for studying municipal government service delivery at scale. The project will deliver four...
- Federal Grant Award Summary Michigan State University received a $180,000 Project Grant from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) awarded August 15, 2025, with completion targeted for July 31, 2028. The research delivers statistical frameworks and theoretical foundations for adversarial training in neural networks, addressing vulnerabilities in artificial intelligence (AI) systems that can produce incorrect predictions when...
- Federal Grant Award Summary Michigan State University received a $334,794 CAREER Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) awarded June 15, 2025, with completion targeted for May 31, 2030. The project addresses user trust calibration in Generative Artificial Intelligence (GenAI) chatbots by investigating cognitive heuristics and designing mitigation strategies. The research...
- Federal Grant Award Summary Michigan Technological University received a $300,000 Project Grant from the National Science Foundation (NSF) Directorate for Technology, Innovation, and Partnerships (CFDA 47.084), awarded May 1, 2026, with completion scheduled for April 30, 2027. This Phase I POSE (Pathways to Enable Secure Open-Source Ecosystems) award supports the development of an open-source ecosystem designed to accelerate artificial intelligence (AI) adoption in construction engineering....
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) awarded $185,000 to the Regents of the University of Michigan (University of Michigan-Dearborn) on September 1, 2025, for a three-year collaborative research project extending through August 31, 2028. The project will develop an intelligent system that leverages textual and image-based engineering knowledge from professional documents to...
The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded Michigan State University a $914,904 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) on July 15, 2026, to investigate how rural communities adapt to workplace automation. Over the 48-month performance period (through June 30, 2030), the research team will conduct a two-phase, mixed-methods ethnographic study across rural Michigan manufacturing and agricultural regions to document community resilience strategies and technological adaptation patterns. The project employs organizational observations, semi-structured interviews with workers, business owners, families, and community leaders, and document analysis using flexible coding and concept mapping methodologies to identify patterns in how communities respond to automation-driven economic disruption. The grant deliverables include practical tools and translational products designed for policy and business audiences: policy briefs for workforce development agencies, decision frameworks for rural businesses seeking to implement automation strategies, and a comprehensive toolkit for assessing automation's community-level impacts. By positioning rural residents as active problem-solvers rather than passive victims of technological change, the research will generate evidence-based guidance to help policymakers, business leaders, and community institutions improve outcomes as artificial intelligence and robotics technologies accelerate workplace transformation in rural economies.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $914.9k | 7/11/26 |