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'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...
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 $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...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
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 $247,811 Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) supports research at Oberlin College to develop and test AI programming tools to assist scientists in writing computer programs for scientific research. The goal is to create AI models and tools that can help scientists, who are not expert programmers, be more productive and improve the reproducibility of scientific work. Key products and services include developing large language...
The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $364,562 to Brown University to enable undergraduate students to participate in interdisciplinary research on artificial intelligence (AI) for computational creativity. The award will help build students' computer science research capabilities, communication and professional skills, and understanding of pathways to graduate degrees in AI and...
This Project Grant award of $304,993 from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an adaptive, AI-driven career exploration platform. The platform aims to provide personalized career guidance for students in secondary and post-secondary education, addressing a gap in workforce development. The project integrates advanced learning theories and data-driven models to create a novel system that...