Project Grant 2544037
- Federal Grant Award Summary Vanderbilt University received a $200,000 Project Grant award effective August 1, 2025, through July 31, 2028, 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). This collaborative research initiative focuses on developing advanced graph retrieval techniques for retrieval-augmented generation (RAG) systems that enhance generative artificial...
- Federal Grant Award Summary Vanderbilt University's Sponsored Programs Administration received a $599,989 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The five-year award, effective September 1, 2025 through August 31, 2030, funds a Faculty Early-Career Development (CAREER) research initiative focused on developing explainability and trustworthiness mechanisms...
- 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 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 Vanderbilt University received a $446,272 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective September 1, 2025, through August 31, 2028. This award supports research investigating cognitive processes that govern language use and memory during conversation, with the central hypothesis that language production shapes memory...
- Federal Project Grant Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $383,998 CAREER award 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) for the period July 1, 2026 through June 30, 2031. This project delivers foundational research and development services focused on advancing Large Language Models' (LLMs) semantic...
- Federal Grant Award Summary New York University received a $347,549 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective September 1, 2025, through August 31, 2030. This project grant supports the development of interactive language systems that critically reason about textual sources to provide high-quality, current information to users. The research...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a five-year Computer and Information Science and Engineering (CISE) CFDA 47.070 project grant of $476,440 to Princeton University, effective September 1, 2025 through August 31, 2030. This CAREER award supports research on unsupervised and autonomous reinforcement learning of artificial intelligence (AI) skills, addressing fundamental challenges in how AI models learn...
- Federal Grant Award Summary Vanderbilt University received a $1.2M project grant awarded September 1, 2025, from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Intelligent Cyber Microscopy System for Long-Term Microscope Imaging" (ICMS), will develop an AI-powered cyber-physical system that transforms biological microscopy capabilities through the...
- Federal Grant Award Summary Purdue University received a $401,546 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective June 1, 2026 through May 31, 2031. The project, titled "PTM-SEER: Software Engineering Foundations for Re-Using Pre-Trained Neural Models," addresses the engineering challenges associated with discovering, evaluating, adapting, and...
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 intelligence tools for software engineering by integrating human cognitive patterns into AI model design. The research deliverables include empirical studies measuring programmer attention during software engineering tasks using eye-tracking technology, a cognitive simulation framework based on the Adaptive Control of Thought-Rational (ACT-R) architecture to generate large-scale human attention datasets, and incorporation of human attention signals into graph neural networks and transformer-based AI models to improve code generation, summarization, and debugging capabilities. This CAREER award produces both foundational research contributions and practical AI tools designed to enhance software reliability, security, and developer productivity. The project's significance lies in advancing explainability and trustworthiness of AI systems by grounding their development in human expertise, ultimately strengthening the nation's capacity for technology innovation. The research spans multiple technical domains, combining human factors research with cognitive modeling and state-of-the-art machine learning methodologies to create AI-assisted programming tools that more closely align with how experienced software engineers analyze and reason about code.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $397.1k | 5/7/26 |