Project Grant 2543108
- 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...
- 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 Grant Award Summary Purdue University received a $391,123 CAREER award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 1, 2026 through August 31, 2031. The project develops novel formal methods techniques and a trustworthy framework for software developers to rigorously explore, examine, and understand the behavior of potentially flawed...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Rhode Island a Project Grant of $341,343 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports the development of tools and methodologies to help data scientists anticipate and prevent unintended systemic errors in machine learning...
- 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...
- 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 The National Science Foundation's Division of Computing and Communication Foundations awarded the University of Illinois a five-year Project Grant totaling $528,319 (CFDA 47.070: Computer and Information Science and Engineering) beginning October 1, 2025, to develop novel debugging frameworks for responsible artificial intelligence (AI)-software systems. The project, titled "CAREER: Metamorphic Debugging for Responsible AI-Software Development," will...
- Federal Project Grant Award Summary The University of Illinois received a $356,787 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective July 15, 2026, with a completion date of June 30, 2031. This CAREER award supports the development of self-regulating artificial intelligence (AI) agents capable of operating safely and reliably in...
- Federal Project Grant Award Summary Purdue University received a $357,921 CAREER (FacultyearlyCareerDevelopment) Project Grant from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (Computer and Information Science and Engineering program, CFDA 47.070) effective July 1, 2026 through June 30, 2031. The award funds research and algorithmic development focused on structure-aware machine learning, with the goal of creating more reliable, data-efficient, and...
Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant totaling $331,717 to the University of Louisville (Office of Research & Innovation) on June 15, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, extending through May 31, 2031, delivers research and educational products designed to support non-AI (artificial intelligence) experts in effectively utilizing imperfect AI tools. Through mixed-methods studies and controlled experiments, the research generates a validated framework of AI-related workarounds employed by non-expert users, identifies factors influencing workaround generation (including mental models, sensemaking, and trust calibration), and develops evidence-based interventions to enhance user effectiveness when encountering AI limitations. The project's primary deliverables include research findings on essential AI literacy competencies for the general workforce, design recommendations for improved human-AI interfaces, and training program guidance to equip non-AI experts with the knowledge and confidence to critically assess and adapt emerging AI tools. By studying how users navigate the inherent limitations of machine learning systems, the research provides actionable insights for technology designers and educators seeking to democratize AI adoption and prevent technological capability gaps among the broader population.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $331.7k | 4/19/26 |