Project Grant 2522159
Award Date 8/1/25
Completion Date 7/31/26
Dollars Obligated $251K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
New York, NY 10027, USA
Similar Awards
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $400,000 in funding to The Trustees of Princeton University to build new online tools that enable large-scale experiments on human-AI interactions. The goal is to develop a platform that allows scientists across disciplines to study how AI and humans can effectively work together in hybrid societies. The key products and services delivered under this award...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) for $599,939 awarded to Georgia Tech Research Corp. seeks to develop advanced computational methods for analyzing complex multi-animal behaviors in naturalistic settings. The project aims to create accurate, interpretable, and reliable machine learning models that can 1) segment long behavior sequences into distinct short-term actions, 2) explore how animals make decisions...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $399,998 to Cornell University to develop new online tools that enable large-scale behavioral experiments studying interactions between humans and artificial intelligence (AI) agents. The key products and services to be delivered under this 3-year award, which begins on September 1, 2025, are: New tools integrated into existing behavioral research platforms...
- The National Science Foundation (NSF) awarded a $259,330 Project Grant under its Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Pittsburgh. This 1-year grant, awarded on May 1, 2024, will support research on "The Datafied Animal: Biologging, Machine Learning and Wildlife Conservation." The project will analyze the ethical, social, and practical implications of using new technologies like miniaturized animal tags, GPS-telemetry, and machine learning...
- This Project Grant award, valued at $325,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Washington. The project develops powerful new tools for understanding complex data, leveraging cutting-edge artificial intelligence (AI) techniques to help data analysts across diverse fields make informed, automated decisions. The research introduces novel approaches to analyze messy, heterogeneous, and large...
- The National Science Foundation awarded a $110,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Purdue University. The grant, titled "Collaborative Research: How AI Labor Research Influences Stakeholder Beliefs and Regulatory Preferences," examines how exposure to scholarly forecasts about the impact of artificial intelligence (AI) on labor markets shapes the perceptions, decision preferences, and intended behaviors of U.S. workers,...
- This $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research at Columbia University focused on developing incentive-driven algorithms and machine learning tools to improve the quality and representativeness of data used in high-stakes decision-making. The $575,000 award, with a project period from August 1, 2025 to July 31, 2028, aims to design data...
- This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $443,888 to the Research Foundation of the City University of New York (RFCUNY) to test theories of perceptual valuation using advanced machine learning and artificial intelligence (AI) techniques. The project aims to: 1) determine if deep neural network machine learning models can serve as proxies for people's internal models of visual objects, 2)...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $378,352 to Barnard College to conduct research on how the brain uses visual and linguistic information to achieve specific goals. The project aims to understand the cognitive processes underlying goal-directed perception, using a combination of methods from visual AI, language AI, neuroscience, and cognitive science. Key activities include training deep neural...