Project Grant 2610424
- Federal Grant Award Summary Carnegie Mellon University received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective July 1, 2026 through June 30, 2029. This collaborative research initiative will develop statistical and machine learning methods for measuring data value in artificial intelligence model training and data-driven decision systems. The project will produce three...
- Federal Project Grant Award Summary The University of Michigan, Office of Research and Sponsored Projects, received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on August 15, 2025, with completion targeted by July 31, 2028. The award supports fundamental research on robust data-driven decision-making systems that integrate human-AI alignment with algorithmic...
- Federal Grant Award Summary The Ohio State University received a $570,000 Project Grant from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), awarded September 1, 2025, with completion targeted for August 31, 2028. The grant supports the development of artificial intelligence solutions for creating digital twins in unmanned aerial vehicles, specifically addressing mathematical and computational challenges through heterogeneous transfer...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) awarded $140,000 to the University of California, Berkeley on August 15, 2025, for a collaborative research project titled "Performance Guaranteed Statistical Learning with Multiple Classes of Models." The project, which extends through July 31, 2028, will develop a next-generation statistical framework called...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded The Ohio State University a $450,819 Project Grant (CFDA 47.075, Social, Behavioral, and Economic Sciences program) effective October 1, 2025, through September 30, 2028. The project develops artificial intelligence (AI) and spatial modeling methods to automate the extraction of architectural and geospatial data from Sanborn historical maps covering over 10,000 American...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $146,715 to the University of Michigan under the Mathematical and Physical Sciences program (CFDA 47.049) on June 1, 2026, for a collaborative research project on calibrated hypothesis testing. The project, scheduled for completion by May 31, 2029, will develop statistical theory and methodology to ensure that error rates reported in scientific findings are accurate and interpretable. The...
- Federal Grant Award Summary The National Science Foundation's Office of Advanced Cyberinfrastructure awarded The Ohio State University a $584,257 Project Grant (CFDA 47.070 - Computer and Information Science and Engineering) effective July 1, 2025 through June 30, 2028 to develop AI4MPI, an artificial intelligence-driven optimization framework for the Message Passing Interface (MPI) library. The project delivers novel AI techniques and methodologies designed to automate and accelerate the...
- Federal Project Grant Award Summary Clemson University's Division of Research received a $165,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. This collaborative research initiative develops a comprehensive framework for the principled and responsible use of Artificial Intelligence (AI) technologies in data-intensive education research. The project addresses the critical need...
- Federal Project Grant Award Summary The Ohio State University received a $517,498 project grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective October 1, 2025, through September 30, 2028. This award funds research to establish theoretical foundations for understanding continual learning (CL), also referred to as lifelong learning, in artificial intelligence (AI) systems. The...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $133,285.00 to the University of California, Berkeley under the Mathematical and Physical Sciences (CFDA 47.049) program for a collaborative research project on calibrated hypothesis testing, effective June 1, 2026 through May 31, 2029. The project develops statistical methods and theory to improve the reliability of large-scale scientific inference by providing individual research findings...
The National Science Foundation's Division of Mathematical Sciences awarded a $150,000 Project Grant to The Ohio State University, effective July 1, 2026 through June 30, 2029, under the Mathematical and Physical Sciences (CFDA 47.049) program. This collaborative research initiative develops statistical and machine learning methods for data valuation in artificial intelligence (AI) model training systems. The project addresses three integrated research directions: (1) creating priority-aware valuation rules that incorporate originality, provenance, and risk considerations within a Shapley-value-based framework for AI data attribution; (2) studying the statistical and computational limits of approximating Shapley values in high-dimensional and large-scale learning settings to design efficient algorithms; and (3) developing population-level theory to support scalable and robust data valuation approaches. The research outcomes will advance transparent, fair, and sustainable AI data ecosystems while improving mechanisms to credit and compensate data contributors. Deliverables include the development of open-source software tools for the broader AI and data science communities, graduate and undergraduate training and educational materials, and public dissemination of research results. By addressing fundamental challenges in data valuation including robustness to strategic manipulation and principled uncertainty quantification, this project supports the National Science Foundation's objective to advance mathematical sciences and strengthen the nation's scientific enterprise.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 5/19/26 |