Project Grant 2628497
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Lehigh University $320,000 under the Technology, Innovation, and Partnerships program (CFDA 47.084) on August 15, 2025, to establish OpenTrustLLM, an open-source ecosystem designed to evaluate and enhance the trustworthiness of large language models (LLMs). The project, which runs through July 31, 2026, addresses fragmented evaluation methods by constructing unified infrastructure with distributed community governance. Key...
- Federal Project Grant Award Summary New York University received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2025, with a completion date of July 31, 2028. This collaborative research initiative addresses critical evaluation gaps in Large Language Models (LLMs) by developing a comprehensive set of "evaluation...
- This $546,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the Pennsylvania State University (Penn State) to advance trustworthy, human-centered summarization capabilities utilizing large language models. The research aims to develop novel summarization techniques that incorporate fine-grained user preferences, address fairness and bias, and honor human knowledge. The...
- Federal Project Grant Award Summary Case Western Reserve University's Office of Research Administration has received a $420,000 CAREER award 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. The project addresses a critical limitation in foundation models—large artificial intelligence systems trained on vast...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded The Johns Hopkins University a $447,317 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) effective October 1, 2025 through July 31, 2027 to develop novel algorithms for causal structure discovery from diverse datasets. The research addresses a critical gap in machine learning (ML) by creating methods to extract cause-effect relationships...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) awarded $300,000 to the University of California, Berkeley on September 15, 2026, for a collaborative research project addressing hallucination problems in large language models (LLMs) used for health information delivery. The project, extending through August 31, 2029, develops artificial intelligence methods to reduce LLM hallucinations and improve the...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded The Leland Stanford Junior University a $270,000 Project Grant (CFDA 47.049, Mathematical and Physical Sciences) effective September 1, 2026, through August 31, 2029, to develop novel statistical methods for explainability and reproducibility in artificial intelligence (AI) systems. The project will create rigorous methodologies for testing hypotheses about variable importance in...
- Federal Project Grant Award Summary Arizona State University's Office of Research and Sponsored Projects Administration received a $300,000 Project Grant awarded September 1, 2026, through the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year collaborative research project, scheduled for completion by August 31, 2029, focuses on developing uncertainty quantification...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded Trustees of Boston University a Project Grant of $471,529 beginning September 1, 2025, and concluding August 31, 2028, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This NSF-BSF collaborative research project delivers research and development services focused on advancing interpretability and control mechanisms for large...
- Federal Project Grant Award Summary Lehigh University received $189,881 in funding from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) for a collaborative research project spanning September 1, 2025, through August 31, 2028. The project develops a multimodal immersive training platform designed to enhance fire investigation expertise by improving spatial-temporal reasoning...
Lehigh University's Office of Research received a $230,000 project grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), awarded September 1, 2026, with completion targeted for August 31, 2028. The project, titled "Causal Auditing of LLM Recommender Systems for Trustworthy Decision Support," develops novel methods to improve transparency and accountability in Large Language Model (LLM)-based recommender systems that inform critical decisions across e-commerce, healthcare, workforce development, and emergency planning. Rather than examining internal model mechanisms, the research reconstructs external explanations from observable recommendation behavior to identify recommendation purposes, reconstruct causal influence relationships among information sources and user preferences, and audit whether recommendations are adequately supported by available system information. The research advances fundamental knowledge at the intersection of artificial intelligence, recommender systems, causal reasoning, and knowledge representation. By developing auditing methods that increase confidence in AI-generated recommendations, the project supports national efforts to strengthen trustworthy artificial intelligence technologies and enhance transparency and accountability of AI-driven decision support across commercial, societal, and public-sector applications.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $230.0k | 7/13/26 |