Project Grant 2523999
- 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 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $422,035 to Syracuse University to investigate the impacts of generative artificial intelligence (AI) on the American workforce. The 5-year project, running from June 2025 to May 2030, will conduct three interconnected studies: A two-wave panel survey of 1,500 workers to analyze perceptions of how generative AI affects job quality, productivity, and skill...
- 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, 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...
- 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 $100,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research to explore how technological changes are impacting worker skills and employment. The project will analyze future skill demands driven by technological disruption and develop effective, affordable educational approaches to enable workers, especially those without college degrees, to reskill and upskill. The research aims to leverage...
- 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...
- This National Science Foundation (NSF) Division of Social and Economic Science award, under the CFDA 47.075 Social, Behavioral, and Economic Sciences program, provides $503,800 to the University of Michigan to research using artificial intelligence (AI) and machine learning to improve job matching for low-skilled workers displaced by the COVID-19 pandemic. The 2-year project will use a randomized controlled trial to evaluate whether AI-assisted algorithmic matching of jobseeker skills and...
- The National Science Foundation Division of Social and Economic Science awarded a $184,223 project grant to the Regents of the University of California, doing business as the University of California, Berkeley, on August 15, 2021 with a projected completion date of July 31, 2023. The grant falls under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to support basic research and education in these fields as well as monitor science resources. Under the grant, UC...
- This Project Grant award of $215,549.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into how universities are using and adapting AI systems, particularly for surveillance functions in areas such as learning management, campus safety, and research. The project, conducted by the University of North Carolina at Chapel Hill (UNC-CH), uses mixed methods to study the societal implications of AI systems in higher...
This federal Project Grant award, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research project examining how exposure to scholarly forecasts about the impact of artificial intelligence (AI) on labor markets shapes perceptions, decision preferences, and intended behaviors among U.S. workers, business managers, and regulatory decision makers. The $100,000 award to Virginia Commonwealth University, with a project period from September 1, 2025 to August 31, 2027, will fund a series of multi-sample online survey experiments targeting these three stakeholder groups. The goal is to clarify how such AI labor market research informs - or complicates - critical decision-making by these key groups. The project also includes development of a public-facing online portal with plain-language summaries of major AI forecasting studies and interactive tools to compare labor forecasts across industries, occupations, and demographic groups. This research contributes to national priorities related to AI leadership, the future of work, and science communication, while providing mentorship opportunities for students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 8/22/25 |