Project Grant 2617313
- The National Science Foundation Division of Computing and Communication Foundations awarded $300,000 to The Research Foundation For The State University Of New York (operating as SUNY at Binghamton) on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance large language model-based spatial-temporal forecasting for urban dynamics prediction. The project establishes theoretical foundations, robustness guarantees, and interpretable...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Trustees of The University of Pennsylvania $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop statistical foundations for large language models that advance reliability, transparency, and accountability in AI systems. The project addresses limitations in large language model outputs—including overconfident errors, hidden biases in...
- The National Science Foundation Division of Computing and Communication Foundations awarded North Carolina State University $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods for generalizable editing of foundation models, including large language models. The project investigates knowledge augmentation frameworks that enable foundation models to update stored facts more reliably and apply edits across related...
- The National Science Foundation Division of Computing and Communication Foundations awarded Yale University $355,590 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for more reliable large language models in scientific research. The project addresses limitations in current AI systems when applied to scientific tasks, including tendency to miss key publications, rely on weak evidence, present claims with unwarranted...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California, San Diego $332,344 on August 1, 2026, under the Computer and Information Science and Engineering program to develop a unified theory of information-computation tradeoffs for statistical tasks. The project runs through July 31, 2029, and is performed in La Jolla, California. The research establishes lower bounds in computational models including low-degree polynomials,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Arizona State University $719,647 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical and computational foundations for decision-making under conditions of hidden information and logic-based constraints. The project addresses decision scenarios in which one party possesses information unavailable to others and behavior must satisfy...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California, Santa Barbara $200,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for discovering higher-order scientific laws with deep learning. The award funds research on extending graph neural networks to model higher-order interactions in physical systems—interactions among components that extend...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $871,225 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations for multi-agent learning systems in artificial intelligence. The project advances the theory of online optimization and learning within multi-agent systems through three research thrusts. The first thrust characterizes optimal...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Texas at Austin $749,065 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical foundations for decision-making in information-limited environments. The project focuses on four research directions at the interface of algorithms, optimization, and economic theory. The work develops models for optimization when...
- The National Science Foundation Division of Computing and Communication Foundations awarded Arizona State University $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop uncertainty quantification methods that enable large language models to recognize and correct their own errors in high-stakes reasoning tasks. The project, running through August 31, 2029, addresses the problem of language models confidently producing...
The National Science Foundation Division of Computing and Communication Foundations awarded San Diego State University Foundation $299,999 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations and reasoning capabilities for large language model-based spatial-temporal forecasting in urban dynamics prediction. The project addresses fundamental gaps in current LLM-driven urban forecasting systems by establishing theoretical explanations for model success and failure, improving robustness under distributional and structural shifts such as sensor failures and disruptive events, and enabling transparent, controllable reasoning that identifies spatial regions, temporal contexts, and external events driving predictions while supporting instruction-guided forecasting under user-specified constraints. The work unifies theory, learning, reasoning, and verification to establish scientific foundations for trustworthy, interactive, and scalable spatial-temporal foundation models for urban intelligence. The project integrates research with education and workforce development through curriculum innovation, student mentoring, and outreach activities. Performance occurs at San Diego, California, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/22/26 |