Project Grant 2539336
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded a CAREER grant of $354,579 to the University of Pennsylvania effective June 1, 2026, through May 31, 2031, under the Computer and Information Science and Engineering (CFDA 47.070) program. This project grant develops a comprehensive science of artificial intelligence (AI) reliability by investigating why AI systems fail in high-stakes applications such as medicine,...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a CAREER grant totaling $408,211 to the University of Texas at Arlington, effective July 1, 2026 through June 30, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops an artificial intelligence-driven integrated sensing, computing, and communication (ISC2) framework that enables next-generation wireless networks to...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a CAREER grant of $315,154 to the Regents of the University of California at Riverside, effective July 1, 2026 through June 30, 2031, under the Computer and Information Science and Engineering (CFDA 47.070) program. This research project develops a cross-layer testing framework designed to identify and prevent deployment failures in artificial intelligence (AI) systems...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded the University of Southern California a $361,264 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) on June 15, 2026, to support a CAREER research initiative examining human-artificial intelligence (AI) interaction and its effects on human cognition. The project, which runs through May 31, 2031, will conduct empirical studies analyzing...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $506,819 CAREER grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the five-year period from September 1, 2025, through August 31, 2030. This project delivers innovative evaluation methodologies for artificial intelligence (AI) agents by combining online and offline data approaches. The...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a CAREER grant totaling $383,884 to Texas A&M Engineering Experiment Station on June 1, 2026, with a completion date of May 31, 2031. Under the Computer and Information Science and Engineering program (CFDA 47.070), this project develops a novel multi-agent artificial intelligence framework designed to enhance computing education by combining generative AI...
- Federal Project Grant Award Summary West Virginia University Research Corporation received a $409,667 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CFDA 47.070) program, effective October 1, 2026, through September 30, 2031. This CAREER award funds research to develop a framework for calibrating human trust in artificial intelligence (AI) systems used in high-stakes...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a five-year CAREER project grant of $282,156 to the University of South Carolina, effective September 1, 2026 through August 31, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). This project develops novel artificial intelligence (AI) algorithms to solve pathfinding problems based on high-level goal specifications—situations where...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a five-year CAREER grant totaling $584,649 under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 1, 2026 through August 31, 2031. The Research Foundation for the State University of New York, performing as SUNY at Binghamton, will develop a novel spatial-temporal offline reinforcement learning framework designed to enable reliable and adaptive decision-making in complex urban...
- Federal Project Grant Award Summary UC San Diego received a $381,276 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (CISE program, CFDA 47.070) effective June 15, 2025, through May 31, 2030. The project delivers advanced machine reasoning capabilities by systematically integrating world models into the design, training, and application of next-generation reasoning algorithms. The research focuses on three primary innovation areas: new...
The National Science Foundation's Division of Computing and Communication Foundations awarded $441,861 to the University of Puerto Rico Research and Development Center Division (operating as Chancellor Mayaguez Campus) on October 1, 2026, under the Computer and Information Science and Engineering (CFDA 47.070) program. This five-year CAREER award, concluding September 30, 2031, funds the development of a computational framework for integrating trust, shared awareness, and joint action in human-artificial intelligence (AI) driving teams for highly automated vehicles. The research redefines human-AI collaboration beyond traditional automation models, enabling features such as human-AI intention-sharing, obstacle detection assistance, AI behavioral adjustment based on human attention levels, and AI feedback requests on driving maneuvers. The research framework has potential applications across multiple disciplines including robotics, manufacturing, emergency response systems, and healthcare. In addition to core research activities, this CAREER award includes integrated educational components designed to broaden workforce development and public understanding of AI and human-machine interaction. The project incorporates interactive community workshops and an applied robotics challenge targeting high school students and adults to foster greater understanding of automation and prepare the future science and engineering workforce. By combining fundamental research with educational outreach, the award addresses both the immediate need for safer human-AI driving teams and the longer-term requirement for a skilled workforce capable of advancing human-AI teaming technologies across multiple sectors.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $441.9k | 7/13/26 |