Project Grant 2442153

Award Date 6/15/25
Completion Date 5/31/30
Dollars Obligated $384K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15213, USA
Similar Awards
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 CFDA 47.070 - Computer and Information Science and Engineering is for $395,927 over the period of Sep 1, 2024 to Aug 31, 2027. The award aims to develop theoretical and algorithmic foundations for building a safe and robust human-AI ecosystem, where machine learning (ML) and artificial intelligence (AI) techniques are used in applications involving humans, such as recommendation systems, lending, and healthcare. The key...
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...
Carnegie Mellon University was awarded a $738,927 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year project grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research toward developing personalized machine learning models, reasoning approaches under data-knowledge symbiosis, and interpretable interaction...
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 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 $348,956 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research at Carnegie Mellon University (CMU) to develop computational systems with an "actionable understanding" of the 3D world. The project aims to bridge the gap between 2D visual perception and 3D reasoning about actions and their effects. Specifically, the research will focus on: a) learning 2D affordances and...
This $300,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to investigate algorithmic biases in artificial intelligence (AI)-based ergonomic assessments to ensure the ethical design and deployment of responsible and explainable AI technologies. The key objectives are to: (1) obtain stakeholder perspectives on AI-based ergonomic assessments, (2) identify sources of algorithmic biases, (3) develop and evaluate...
Carnegie Mellon University was awarded a $391,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the Computer and Information Science and Engineering federal grant program (CFDA 47.070) and will fund the "FAI: FAIR AI IN PUBLIC POLICY - ACHIEVING FAIR SOCIETAL OUTCOMES IN ML APPLICATIONS TO EDUCATION, CRIMINAL JUSTICE, AND HEALTH AND HUMAN SERVICES" project from April 1, 2021 through March 31, 2024. Under this...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research at The Ohio State University to develop theoretical and algorithmic foundations for building a safe and reliable human-AI ecosystem. The key objectives are to: 1) create an analytical framework to characterize human-AI interactions and safety components, 2) examine feedback effects between agents and the...

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 aims to generate (1) empirical insights into worker-AI interactions, (2) novel worker-driven AI prototypes, and (3) strategies for incorporating worker perspectives throughout the AI technology lifecycle. The award period runs from June 2025 to May 2030, with the goal of guiding the development of AI systems that balance the needs of workers and organizations, contributing to broader societal and economic resilience.

Generated 7/1/25, 3:04 AM