Project Grant 2543694
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded Tulane University $222,497 through its Integrative Activities program (CFDA 47.083) under the EPSCOR Research Fellows initiative, effective May 1, 2026 through July 31, 2027. This Project Grant provides fellowship support to an Assistant Professor and graduate student training at Tulane University to develop interpretable artificial intelligence (AI) models for multi-modal brain magnetic...
- Federal Grant Award Summary The University of Tulsa received a $438,871 CAREER (Faculty Early Career Development) 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) effective October 1, 2025, through September 30, 2030. This award supports research addressing emerging security and ethical challenges in artificial intelligence (AI)-integrated crowdsourcing systems....
- Project Grant Award Summary Tulane University received a $376,008 Project Grant 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, 2029. This collaborative research initiative addresses fault localization for deep learning systems by developing novel techniques to identify and debug errors in deep neural networks (DNNs). The project delivers research...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant of $357,069 to The Johns Hopkins University (dated August 15, 2026, with completion targeted for July 31, 2031) to develop interpretable, large language model (LLM)-based artificial intelligence systems that enable scientific discovery by identifying structural parallels and cross-cutting connections across scientific literature domains. The primary...
- Federal Grant Award Summary New York University received a $209,649 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025, through July 31, 2027. This CAREER award, funded in part under the American Rescue Plan Act of 2021, supports the development of artificial intelligence (AI) systems capable of flexible and robust reasoning in natural language processing. The research addresses...
- Federal Grant Award Summary Purdue University received a $357,921 CAREER Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) effective July 1, 2026 through June 30, 2031. This award supports investigator-initiated research and education in algorithmic advances within structure-aware learning, specifically advancing artificial intelligence (AI) systems that are more reliable, data-efficient, and easier to correct. The research...
- Federal Grant Award Summary Tulane University received a $499,385 Project Grant from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded August 1, 2026, with completion targeted for July 31, 2028. The G-WAVE (Gulf Water Analytics & Virtual Environments for Integrated and Intelligent Water, Health, and Energy Resilience in the Gulf Coast) Initiative is a planning project...
- Federal Grant Award Summary Florida State University received a $301,560 Project Grant awarded October 1, 2026, by the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The five-year CAREER award supports development of the Large Number Model (LNM), a hybrid neural-symbolic artificial intelligence system designed to improve machine comprehension of complex numerical and...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded $315,154 to the Regents of the University of California at Riverside under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a five-year CAREER project spanning July 1, 2026 through June 30, 2031. The award supports research on foundational testing methodologies for heterogeneity-aware artificial intelligence (AI) compilation...
- 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...
Tulane University received a $418,410 CAREER (Facultyb Early-Career Development Program) 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 1, 2026, through June 30, 2031. The project delivers research and educational products focused on developing interpretable artificial intelligence (AI) systems that explain decision-making processes in transparent, human-understandable terms. The research framework advances AI interpretability by designing architectures that identify semantically meaningful data patterns, organize them into compositional reasoning processes, and systematically mitigate spurious correlations to improve model reliability and generalization across new tasks and evolving environments. In addition to fundamental research outputs, the award includes education and outreach activities that train students in responsible AI development and build workforce capacity in AI and computing fields. The project aims to improve AI safety and effectiveness in high-stakes applications such as healthcare and transportation by enabling professionals to better understand and assess the reliability of AI-driven decisions, thereby strengthening public trust in AI technologies and contributing to long-term economic growth and societal well-being.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $418.4k | 5/29/26 |