This Project Grant award, valued at $465,495, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The goal of this 4-year research project, awarded to Syracuse University, is to create AI-enhanced digital tools to empower online freelance workers. The research team will collaborate with online freelancers to develop and evaluate prototype tools that can help these workers better manage their...
The National Science Foundation (NSF) awarded a $279,235 Project Grant under the CISE (Computer and Information Science and Engineering) program (CFDA 47.070) to Skidmore College in Saratoga Springs, NY. The goal of this 4-year research project is to create AI-enhanced digital tools that empower online freelance workers to better manage their professional profiles, workload, and task performance in online labor markets. The project team will collaborate with online freelancers to develop and...
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...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $446,473 provides funding to Northeastern University to develop AI-enhanced digital tools to support online freelance workers. The project aims to create prototypes that help freelancers better manage their profiles, workloads, and task performance within online labor markets, which often have policies and algorithms that disadvantage workers. Over a 4-year period,...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $100,000 to the National Bureau of Economic Research (NBER) to conduct research on reskilling and upskilling strategies to address technological disruption in the labor market. The research team will explore future technological changes, identify skills with the highest expected future payoffs, and develop effective educational approaches and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $468,760 to Northeastern University to design new tools that enable gig knowledge workers to collectively address workplace challenges. The research aims to 1) develop methods for workers to collect and analyze job, wage, and employer data as a group, 2) create collaborative tools to help workers identify shared issues and develop solutions,...
This Project Grant award from the National Science Foundation (NSF) under the CFDA 47.084 Technology, Innovation, and Partnerships (TIP) program provides $300,000 in funding to Carnegie Mellon University. The project aims to develop and improve methods for evaluating the potential workforce readiness of regional labor markets to meet skill demands created by large-scale industrial transitions and technological change. Key deliverables include an empirically validated user-tool that estimates the...
This $220,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Utah. The goal of this project is to empower artificial intelligence (AI) researchers to more easily search, discover, and use AI-ready data sets, potentially streamlining and democratizing AI research. The project will investigate and develop data discovery services using innovative AI-based...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), is providing $600,000.00 over 3 years to the University of Colorado to study algorithmic and economic principles for designing effective online marketplaces and platforms. The research focuses on the "Pandora's Box" problem, where participants must expend effort to search for and evaluate alternatives, balancing the value of their choices...