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 Regents of the University of California, doing business as University of California, Berkeley, received a $143,007 Project Grant award from the National Science Foundation Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The grant funds a research project from May 1, 2023 through April 30, 2026 to examine whether heterogeneity in firms' provision of non-wage amenities dampens or magnifies total labor compensation...
The National Science Foundation (NSF) awarded a $445,554 Project Grant under its Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Arizona. The 5-year grant, awarded on August 1, 2024, supports a research project investigating how international politics and competition influence the global field of academic artificial intelligence (AI) research. The project employs social network analysis, natural language processing, and survey experiments to examine how...
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...
The University of California Irvine received a $115,999 National Science Foundation Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant supports collaborative research titled "The Macroeconomy, Labor Markets, and Economic Mobility from the Civil War to Today: New High Frequency Data on Local Economic Shocks" from March 1, 2021 through February 29, 2024. The research will contribute new high frequency data on local economic shocks to...
The National Science Foundation Division of Social and Economic Science awarded a $183,000 Project Grant to the National Bureau Of Economic Research Inc. doing business as NBER, for the period of August 1, 2021 through July 31, 2024. The grant supports research titled "Technology, Automation and Inequality" under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program aims to contribute to scientific strength and welfare through promotion of basic research and...
The National Science Foundation (NSF) awarded a $309,517 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Berkeley. The grant supports the development of artificial intelligence (AI) methods for analyzing data from weak gravitational lensing surveys, which can provide insights into the nature of dark matter and the structure of the universe. The research aims to advance simulation-based inference techniques, including...
The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $400,000.00 to the University of California, Berkeley (UC Berkeley) to conduct research on understanding, visualizing, and attributing multimodal generative models - large-scale AI models that generate both text and images. The research aims to develop new systematic frameworks for analyzing the internal mechanisms and...
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...
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 Berkeley will analyze the potential effects of artificial intelligence on labor markets. The AI for Good Foundation was awarded a sub-grant to provide the underlying AI expertise and organize, link, and model multiple datasets covering areas such as HR data, job postings, patents, and company information spanning approximately 20 years. This includes developing representations of people, firms, industries and locations; linking entities; detecting anomalies and duplicates; and enriching data through techniques like inferring missing attributes. The Foundation will also provide dynamic panels on technology usage by individuals and firms annually, categorizing over 30,000 business tools by taxonomy. Outcomes include measures of AI sophistication at various organizational levels to power economic analyses conducted by UC Berkeley collaborators under the grant.