Project Grant 2523638
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $271,080 to the University of California, Los Angeles under the Mathematical and Physical Sciences (CFDA 47.049) program for a collaborative research project spanning January 1, 2026 through December 31, 2028. This project delivers foundational research and development of artificial intelligence (AI) systems capable of advanced mathematical reasoning and formal proof generation. The...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded $900,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Irvine for a four-year project (October 1, 2025 – September 30, 2029) focused on improving human-artificial intelligence (AI) decision-making partnerships through shared understanding. The project develops measurement frameworks and assessment methodologies to accurately track...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) awarded UCLA $139,995 for a three-year project (June 1, 2026 – May 31, 2029) to develop non-parametric statistical methods for multimodal data analysis. The core deliverable involves creating robust, scalable, and statistically principled approaches for integrating heterogeneous high-dimensional data sources—such as medical imaging, clinical...
- 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 Computing and Communication Foundations awarded $375,000 to UCLA under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 15, 2025, for a collaborative research project extending through July 31, 2028. This project grant supports the development of specialized theoretical frameworks and algorithms for min-max optimization, a mathematical approach that underpins critical...
- Federal Project Grant Award Summary The National Science Foundation's Office of Multidisciplinary Activities awarded $500,000 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of California, San Diego to develop a Large Language Model (LLM)-Based Smart Learning Hub for computing education. The project, which commenced on October 1, 2025, and will conclude on September 30, 2028, aims to create an integrated pedagogical tool that leverages artificial...
- Federal Grant Award Summary This $160,000 postdoctoral fellowship award, funded by the National Science Foundation (NSF) Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research conducted at Yale University from September 1, 2025 through August 31, 2027. The award funds an early-career scientist investigating knowledge inference—how individuals rapidly determine what others know based on minimal behavioral cues such as...
- Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded a $400,000 Project Grant (Social, Behavioral, and Economic Sciences program, CFDA 47.075) to Princeton University, effective September 1, 2025 through August 31, 2028. This collaborative research initiative develops infrastructure to facilitate the study of human-artificial intelligence (AI) hybrid interactions through behavioral experiments. The primary deliverables include new...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded UCLA a $1,263,600 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2026 through August 31, 2031. This Research Training Group (RTG) grant establishes an integrated research and training ecosystem within UCLA's Department of Statistics and Data Science, designed to develop workforce capacity in data science foundations and applications....
- 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...
The National Science Foundation's Office of Multidisciplinary Activities awarded a $594,592 Project Grant to the University of California, Los Angeles (UCLA) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) beginning July 1, 2026 and concluding June 30, 2029. This award supports comparative research examining how humans and animal models make inferences under uncertainty, with a specific focus on the positive contingency bias—a cognitive phenomenon in which individuals assume hidden information remains present despite incomplete evidence. The project will deliver empirical research findings through matched computer-based and behavioral conditioning tasks designed to test inferential processes across multiple species, generating datasets and analytical outputs that advance understanding of core principles in reasoning and learning under conditions of uncertainty. The research initiative will produce scientific knowledge with direct applications to artificial intelligence development and decision-making systems, while simultaneously delivering substantial educational outputs through hands-on training programs for high school, undergraduate, and graduate student researchers. Specific deliverables include experimental data examining the strength and variability of positive contingency bias across species, findings on how organisms learn from unobserved or imagined cues, and insights into whether separate imagined features can be combined to guide decision-making. These research products will contribute to fundamental brain science and support the preparation of AI-literate science, technology, engineering, and mathematics (STEM) professionals in the next generation workforce.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $594.6k | 5/18/26 |