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 $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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $465,495.00 to Syracuse University to develop and evaluate AI-enhanced digital tools that empower online freelance workers to better manage their profiles, workloads, and task performance. Over 3 years, the research team will collaborate with online freelancers and organizations supporting these workers to design, deploy, and iteratively...
The National Science Foundation (NSF) awarded a $279,235 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to Skidmore College. The grant will fund a 4-year collaborative research effort to develop and evaluate AI-enhanced digital tools that empower online freelance workers to better manage their profiles, workload, and task performance. The research aims to address challenges online freelancers face in marketing themselves, finding well-paying jobs,...
This Project Grant award for $100,000 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research to explore future technological changes, identify skills with high expected future payoffs, and develop effective educational technologies and instructional approaches to enable worker reskilling and upskilling. The award will be used by the National Bureau of Economic Research, a private non-profit research organization, to leverage...
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...
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...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $106,000.00 to the Research Foundation of the City University of New York (RFCUNY) to conduct research on designing smart environments to augment collective learning and creativity. The 3-year project, beginning September 1, 2024, will develop large-scale online experiments and computational models to understand how technological mechanisms can...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $242,907 to Syracuse University to investigate the impacts of generative artificial intelligence (AI) on the American workforce. The key products and services to be delivered include: A two-wave panel survey of 1,500 workers to analyze perceptions of how generative AI affects job quality across different economic sectors, particularly for knowledge...