Project Grant 2614933
- Federal Project Grant Award Summary The Leland Stanford Junior University received a $300,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. The award supports theoretical and applied research investigating branching processes, partial differential equations (PDEs), and their applications across multiple scientific domains. The...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $500,000 project grant to The Leland Stanford Junior University, effective August 1, 2025, through July 31, 2028, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This award supports fundamental research in algorithmic game theory and mechanism design, specifically investigating how information access influences economic...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $150,000 to The Leland Stanford Junior University under the Mathematical and Physical Sciences (CFDA 47.049) program for a one-year project grant effective September 1, 2025 through August 31, 2026. The project aims to develop a rigorous mathematical framework for timelike Liouville theory, a quantum gravity theory that has eluded rigorous mathematical treatment due to Gaussian integrals...
- Federal Grant Award Summary The Leland Stanford Junior University received a $503,740 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 1, 2025, with completion targeted for April 30, 2026. This CAREER award supports the development of probabilistic machine learning tools and methodologies for analyzing spatiotemporal data, with...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $425,875 to The Leland Stanford Junior University under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER (Career: State Space Models for Neural and Behavioral Data) project beginning August 1, 2025, and concluding July 31, 2030. The award supports the development of novel computational and statistical methodologies to analyze...
- Federal Grant Award Summary The Leland Stanford Junior University received a $266,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective October 1, 2025, with completion targeted for September 30, 2029. This collaborative research initiative focuses on advancing Large Language Model (LLM) unlearning—a novel paradigm enabling the targeted removal of harmful...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded Stanford University $179,999 under the Mathematical and Physical Sciences program (CFDA 47.049) for a two-year project grant (July 1, 2025 – June 30, 2027) to advance fundamental research in Ramsey theory and extremal combinatorics. This research will develop and apply mathematical techniques from combinatorics, probability, analysis, and algebraic geometry to solve longstanding problems in...
- Federal Grant Award Summary The University of Southern California received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded August 1, 2025, with a completion date of July 31, 2028. This three-year research initiative delivers theoretical and computational advances in stochastic games, stochastic control, and machine learning algorithms. The project produces three...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $199,625 to the University of Michigan through the Mathematical and Physical Sciences program (CFDA 47.049) on August 15, 2025, with completion scheduled for July 31, 2028. This project grant supports fundamental research advancing the mathematical foundations of mean field games—a theoretical framework for modeling collective behavior in large populations of strategic agents. The research...
- Federal Grant Award Summary: AIMING Project The National Science Foundation (NSF) awarded The Leland Stanford Junior University a $322,400 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) on September 15, 2025, with a completion date of August 31, 2028. The award supports the "AIMING: AI Theorem Proving Beyond Limited Data" research initiative, which develops artificial intelligence systems capable of proving graduate-level mathematical theorems and...
The Division of Mathematical Sciences (DMS) at the National Science Foundation awarded The Leland Stanford Junior University a Project Grant of $174,629 under the Mathematical and Physical Sciences program (CFDA 47.049) for the period February 1, 2026 through January 31, 2029. This CAREER award funds fundamental research into learning theory for large-scale stochastic games, with application to modern financial markets and economic systems characterized by large populations, population heterogeneity, and human-artificial intelligence (AI) interactions. The primary deliverables center on developing novel mathematical frameworks and learning algorithms for mean-field games—systems modeling the behavior of large numbers of interacting agents. Key research outputs include: (1) new mathematical models and learning algorithms for mean-field games incorporating structural properties such as graphon interactions; (2) theoretical advances addressing principal-agent problems with heterogeneous risk preferences and information asymmetry, including novel stochastic partial differential equation developments; and (3) generative models and interactive simulators capable of scaling agent-based modeling approaches using neural networks. The project emphasizes cross-disciplinary training of undergraduate and graduate students in mathematics and machine learning, contributing to workforce development in these critical research areas.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $174.6k | 2/11/26 |