Project Grant 2403250

Award Date 10/1/24
Completion Date 9/30/28
Dollars Obligated $465K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Syracuse, NY 13244, USA
Similar Awards
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...
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 $242,907 federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a 5-year research project at Syracuse University investigating the impacts of generative artificial intelligence (AI) on the American workforce. The key objectives are to analyze worker perceptions of how generative AI affects job quality, productivity, and skill development, as well as understand high school students' views on the future...
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 (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $383,675 to Carnegie Mellon University (CMU) to investigate how to design AI systems that prioritize worker input and needs. The research will focus on the food industry, examining AI integration in frontline service, food preparation, and cleaning. Through ethnographic studies, participatory design workshops, and prototyping, the project...
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 $115,440 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of new machine learning techniques to enhance user interface (UI) engineering. The primary goals of the five-year project are to: 1) create multimodal screen embeddings to capture UI component relationships and enable automated learning of UI semantics; 2) develop automated multi-modal software...
This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
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 Project Grant award, in the amount of $142,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award will fund the development of a novel, trustworthy Artificial Intelligence (AI) infrastructure to enhance access to computational power, datasets, and models that support research on social policy and poverty reduction. Key products and services to be delivered under this 2-year...

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 improve the functionality of the AI-enabled tools. The goal is to create digital solutions that complement, rather than replace, human workers in the rapidly growing online freelance labor market. The project leverages human-centered design principles to ensure the tools effectively address the specific needs and challenges faced by freelance workers operating in online marketplaces.

Generated 5/13/25, 2:19 AM