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...
This NSF-BSF project grant award of $233,958 to Brown University will support research to investigate the interdependence between perception, cognition, and action. The project aims to understand how specific actions can influence visual perception, and which aspects of visual processing are improved when preparing to act. It will use a combination of behavioral, psychophysical, physiological, and computational approaches. The research team will also engage in outreach activities to promote...
The National Science Foundation Division of Behavioral and Cognitive Sciences awarded Brown University a $173,805 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for the period of September 1, 2021 through August 31, 2025. The grant supports collaborative research on adaptive strategies under empire transitions, contributing to the scientific understanding of resources invested in social and behavioral science. As the sole awardee, Brown University will...
Brown University was awarded a $277,225 project grant from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 to complete work by July 31, 2024. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the nation's scientific enterprise through advancing knowledge and understanding of major problems. Specifically, Brown University will conduct research relating to renormalization group flows, embedding theorems,...
This National Science Foundation (NSF) Division of Information and Intelligent Systems (CFDA #47.070) $1,034,326 Project Grant awarded to Brown University supports collaborative research to bridge the semantic-metric gap in multinocular 3D vision systems. The project aims to address key technical challenges in 3D computer vision, such as handling blurry/textureless images, leveraging redundant image data, and connecting geometric point clouds to semantic scene representations. The research...
Brown University was awarded a $904,860 Project Grant from the National Science Foundation Division of Computer and Network Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this award, Brown University will conduct collaborative research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: CLOSING THE...
The National Science Foundation (NSF) awarded a $769,794 Project Grant under the Biological Sciences (CFDA 47.074) program to Brown University. The grant supports collaborative research to investigate the mechanisms that regulate co-transmission of multiple neurotransmitters in "bilingual" neurons and how this communication is dynamically modulated by sex and social environment in the fruit fly model system. The key objectives include: 1) Examining how glutamate+/octopamine+ neuron...
Brown University was awarded a $331,275 Project Grant from the National Science Foundation Division of Mathematical Sciences on September 1, 2021, with a completion date of July 31, 2023. The award is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise. Under this award, Brown University will research the existence and regularity of solutions to variational problems in...
This $279,983 National Science Foundation project grant supports research at Brown University to develop hybrid statistical and econometric modeling methods. Funded under the NSF Social, Behavioral, and Economic Sciences program, the three-year award beginning August 2022 aims to advance modeling approaches that account for imperfect data measurement and the reality that models approximate rather than perfectly represent the world. The research will modify method-of-moments techniques to...
This $1,090,678 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop computational algorithms that align deep neural networks (DNNs) with human visual processing. The project aims to rectify the growing "misalignment" between the behavior of large-scale DNNs and human cognition as AI systems become more capable. Researchers at Brown University will combine human...