Project Grant 2545306
- Federal Grant Award Summary Brown University received a $259,552 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective September 1, 2025, through August 31, 2028. The award funds fundamental research investigating the computational strategies the brain employs to execute complex motor behaviors despite degraded or uncertain visual information. The research...
- Federal Project Grant Award Summary Brown University received a $750,000 project grant from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective September 1, 2025 through August 31, 2030. This collaborative U.S.-Germany research initiative will develop and test a novel computational model of cognitive control using recurrent neural networks (RNNs) trained on...
- Federal Project Grant Award Summary Brown University received a $911,441 Project Grant from the National Science Foundation (NSF) Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded July 15, 2026, with completion targeted for June 30, 2029. The award funds research investigating how cognitive maps support learning and decision-making in abstract networks. The research team will employ behavioral experiments, computational...
- Federal Grant Award Summary Award Overview: Brown University received a $477,651 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), effective October 1, 2025, through September 30, 2028. The award supports fundamental research in machine learning and three-dimensional (3D) asset generation. Research Deliverables: The project develops a novel class of...
- Federal Project Grant Award Summary Brown University received a $600,000 project grant from the National Science Foundation (NSF), Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering (CFDA 47.070) program. The award, effective July 1, 2025, through June 30, 2028, supports research on efficient multi-task learning frameworks designed to enable advanced machine learning (ML) capabilities on resource-constrained augmented reality (AR)...
- Federal Project Grant Award Summary Brown University received a $1,012,160 Project Grant award from the National Science Foundation (NSF) Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074), effective September 1, 2025, through August 31, 2029. The award supports the development of novel computational tools and frameworks that integrate molecular and structural imaging data to create comprehensive three-dimensional maps of brain organization. Specifically,...
- Brown University was awarded a $408,677 Project Grant from the National Science Foundation Office of International Science and Engineering under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) for the period of September 1, 2021 through August 31, 2024. The grant funds collaborative research between Brown University researchers and their partners to study how emergent motor timing influences perceptual learning. The research is expected to contribute to...
- Federal Project Grant Award Summary Brown University received a $364,562 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, with an award date of June 15, 2025, and completion date of May 31, 2028. This Research Experiences for Undergraduates (REU) Site award supports the delivery of an interdisciplinary research and education program in artificial...
- Federal Project Grant Award Summary Brown University received a $346,851 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant awarded June 1, 2026, with completion scheduled for May 31, 2031. This CAREER award funds research and educational activities directed by the Division of Computing and Communication Foundations to develop a scientific framework enabling machines to learn directly from visual observation and physical interaction....
- Federal Grant Award Summary Brown University received a $300,000 Project Grant award dated August 15, 2025, from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084) to support Phase I activities for establishing an open-source ecosystem for rapid system-on-chip (SoC) design and programming. The award, with a completion date of July 31, 2026, will fund a comprehensive needs assessment of the open-source hardware design community through...
Brown University received a $703,894 Project Grant from the National Science Foundation (NSF) Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective September 1, 2026, through August 31, 2029. The award funds research investigating embodied human intelligence by characterizing interactions between cognitive and sensorimotor systems. The project delivers a series of carefully designed behavioral experiments incorporating pupillometry and computational modeling to examine how cognitive resources and mental effort influence sensorimotor learning and motor skill acquisition. Investigators will develop and test novel computational models of embodied human intelligence while testing the hypothesis that motor learning depends on cognitive systems for spatial information maintenance, learning strategy development, and effort regulation. Research outputs will characterize how stable cognitive abilities and changing internal states shape individual learning trajectories, with implications for cognitive control and sensorimotor learning theories. The project may generate insights applicable to personalized motor skill training approaches, including adaptive human-artificial intelligence training systems incorporating wearable technologies. Results will advance understanding of how human intelligence fundamentally differs from artificial intelligence systems through its embodied nature, where cognitive processes directly drive goal-directed body movements and behavioral adaptation.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $703.9k | 6/18/26 |