Project Grant 2603854
- Federal Grant Award Summary The University of Virginia received a $538,798 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) for the CAREER project "Structure-Aware Learning from Weak Supervision for Knowledge Acquisition," effective October 1, 2026, through September 30, 2031. This research initiative delivers a unified framework enabling artificial intelligence (AI) systems to autonomously learn from incomplete,...
- Federal Project Grant Award Summary The University of Virginia received a $900,000 Project Grant award from the National Science Foundation (NSF) Office of Integrative Activities under the Integrative Activities program (CFDA 47.083), effective January 1, 2026 through December 31, 2028. The project, titled "CICI: IPAAI: Multi-Layer Data Provenance and Federated Learning for Securing Scientific AI Pipelines," delivers infrastructure and tools to enhance the trustworthiness and...
- Federal Grant Award Summary The University of Virginia received a $599,091 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) for the RINAS (Data I/O Cyberinfrastructure for Extreme-Scale Foundation Model and Generative AI Training on HPC) project, effective September 1, 2025 through August 31, 2028. This project develops an open-source software library designed to address...
- Federal Project Grant Award Summary The University of Virginia received a $300,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective August 1, 2025, through July 31, 2028. This research initiative develops methodologies to optimize knowledge utilization in Large Language Models (LLMs) and foundation models to enhance their capability for generating novel...
- 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 University of Virginia received a $600,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2025, with completion targeted for September 30, 2028. This research initiative develops constrained generative artificial intelligence (AI) models that integrate physical principles and safety constraints...
- Federal Grant Award Summary The ElementaryAI Project, funded by the National Science Foundation's STEM Education program (CFDA 47.076) with $926,299 obligated through a Project Grant awarded October 1, 2025, delivers a comprehensive suite of artificial intelligence (AI)-integrated elementary curricula developed through a research-practice partnership between North Carolina State University and Montgomery County Schools. Primary deliverables include AI-integrated instructional materials aligned...
- Federal Grant Award Summary The University of Virginia received a $375,840 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025, through September 30, 2029. This collaborative research project develops a computational platform utilizing machine learning and natural language processing (NLP) technologies to automatically extract personal...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $134,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois to develop and disseminate artificial intelligence (AI) curricular resources for Advanced Placement Computer Science A (APCSA) courses. The project, awarded April 15, 2026, with a completion date of March 31, 2027, will create educational materials addressing...
- Federal Grant Award Summary Virginia Commonwealth University received a $100,000 Project Grant from the National Science Foundation's Division of Social, Behavioral and Economic Sciences (CFDA 47.075) awarded September 1, 2025, with completion scheduled for August 31, 2027. This collaborative research project examines how exposure to scholarly forecasts about artificial intelligence's impact on labor markets shapes perceptions, decision preferences, and intended behaviors among three distinct...
The University of Virginia received a $1,000,000 Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded June 1, 2026, with completion by May 31, 2029. This award funds "AI for All: Building the Nationwide Pipeline from Classroom to Workforce," a comprehensive initiative addressing the critical shortage of artificial intelligence (AI) literacy in K–12 education. The project delivers a train-the-trainer model encompassing professional development for 20 high school teachers, standards-aligned AI curriculum modules, student instruction programs for grades 11–12, and workforce readiness activities. Specific deliverables include a 14-week "AI on Saturdays" professional development program in Python programming, machine learning, and AI application development for teachers, followed by curriculum design studios producing adaptable instructional modules aligned with educational standards. Secondary deliverables include a 14-week AI skills program delivered to students covering foundational programming, AI and machine learning concepts, and real-world applications using industry-standard tools; structured professional development activities including an industry speaker series and a "Make-a-Thon" innovation challenge; and paid internship placements for 60 students total (20 per year) in eight-week positions with partner technology companies and university research laboratories. Through these integrated services, the project advances national priorities under Executive Order 14277 while building workforce capacity in artificial intelligence across the United States.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 6/2/26 |