Project Grant 2543986
- Summary of Federal Project Grant Award The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded $282,156 to the University of South Carolina (award date: September 1, 2026; completion date: August 31, 2031) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This CAREER award supports the development of novel artificial intelligence (AI) algorithms designed to solve pathfinding problems based on high-level goal...
- Federal Project Grant Award Summary Carnegie Mellon University received a $349,005 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070) on September 1, 2026, for a five-year project completion period ending August 31, 2031. This CAREER award supports research titled "Improving Grounded Agents via Efficient Feedback from People," which develops novel...
- Federal Grant Award Summary The University of Pennsylvania received a $354,579 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. This CAREER award funds research to develop a comprehensive science of artificial intelligence (AI) reliability by identifying failure modes in AI systems and designing...
- 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 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...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded $900,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Irvine for a four-year project (October 1, 2025 – September 30, 2029) focused on improving human-artificial intelligence (AI) decision-making partnerships through shared understanding. The project develops measurement frameworks and assessment methodologies to accurately track...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $348,757 to the University of Texas at Austin on June 15, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to support a five-year CAREER research project extending through May 31, 2030. The project addresses a critical gap in understanding and measuring social and emotional cognition in large language models (LLMs) and...
- Federal Project Grant Award Summary Vanderbilt University received a $397,084 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 1, 2026, for a five-year research initiative concluding May 31, 2031. The award funds a comprehensive research project titled "CAREER: Enabling Human-Guided AI for Code" that develops advanced artificial...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a CAREER grant totaling $315,154 to the Regents of the University of California at Riverside on July 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, "Redefining Testing Foundations for Heterogeneity-Aware AI Compilation," will operate through June 30, 2031, and develops a cross-layer testing framework to...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a CAREER grant of $417,565 to The Washington University (Office of Sponsored Research Services) beginning October 1, 2026, and extending through September 30, 2031. Under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), this project will develop an adaptive knowledge synthesis framework that enables large language models (LLMs) to...
GRANT AWARD SUMMARY The National Science Foundation's 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, for a five-year research initiative extending through May 31, 2031. This CAREER award investigates human-artificial intelligence (AI) interaction design to preserve and enhance human critical thinking and creative agency in an AI-augmented environment. The primary deliverables include empirical research findings on how users engage in critical and creative thinking while collaborating with AI assistants on writing and programming tasks, followed by the development and evaluation of four novel interaction paradigms: structured deliberation, productive friction, parallel co-thinking, and distributed cognitive roles. These research outcomes and interaction design frameworks are intended to guide the development of future AI systems that strengthen rather than erode human cognitive capabilities. The project addresses a critical gap in AI system design by combining behavioral analysis with human-centered interaction innovation. Through established cognitive frameworks and user studies, the research team will identify barriers and opportunities in current AI interfaces, then prototype and test new interaction models that maintain transparent human oversight while supporting deeper reasoning. The deliverables will contribute foundational knowledge and practical design principles to the broader computing and information science engineering community, advancing understanding of how AI tools can be designed to empower rather than diminish human intellectual contributions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $361.3k | 4/21/26 |