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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,392, aims to build a collaborative mechanism for academia, industry, and the public sector to co-design research and development (R&D) directions for data systems and artificial intelligence (AI) to address scientific and societal challenges. The project, led by the Regents of the University of Michigan, will bring together data science and...
This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $3,341,029 to the Regents of the University of Michigan to develop new collaborations, data infrastructure, measures and information tools to assess the links between research investments in critical and emerging technologies, such as artificial intelligence (AI), and regional jobs and skills across the United States. The project,...
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...
The University of Michigan received a $150,000 Project Grant award from the National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a research project titled "Understanding Gig Work and Its Effects on Wellbeing Over the Life Course in the United States: A Machine Learning Approach" from October 1, 2021 to September 30, 2022. The...
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 $284,971 project grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities, under the Engineering program (CFDA 47.041), will support research and development of methods to transition marginalized rural and urban digital workers into higher-skilled, creative digital jobs. A team from Northeastern University, Carnegie Mellon University, West Virginia University, Pennsylvania State University, and the University of Pennsylvania will collaborate...
This $599,974 Project Grant was awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Arizona (Tucson, AZ). The purpose of this 3-year award is to leverage big data and machine learning to improve the efficiency and efficacy of online labor markets (OLMs). The project will focus on three key aims: 1) developing novel technical solutions for...
This $446,473 project grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop artificial intelligence (AI)-enhanced digital tools to empower online freelance workers. The research team at Northeastern University will collaborate with online freelancers to design, deploy, and iteratively improve these AI-powered tools over a 4-year period. The goal is to create tools that help freelancers better manage...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $300,000 to the Regents of the University of Michigan to design, develop, and deploy artificial intelligence (AI) responsibly. The key objectives are to: (1) establish a baseline understanding of AI, its current use, and impact on communities; (2) shift towards more responsible, community-focused research and development in AI; (3) identify and...