Project Grant 2542238
- Federal Grant Award Summary The Johns Hopkins University received a $389,092 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 project "From Redundancy to Efficiency—Scalable, Observable Multicast for AI Datacenters." The five-year project, running from July 1, 2026 through June 30, 2031, will develop and deliver advanced networking...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded The Johns Hopkins University a Project Grant of $206,849 (awarded October 1, 2025, with completion by December 31, 2027) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to advance causal reasoning methodologies in artificial intelligence. The research project, titled "CAREER: Optimism in Causal Reasoning via Information-Theoretic...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded The Washington University a five-year CAREER (Computer and Information Science and Engineering, CFDA 47.070) Project Grant totaling $417,565 effective October 1, 2026, through September 30, 2031. This award funds research and development of an adaptive knowledge synthesis framework designed to enhance large language model (LLM) reasoning capabilities for...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $340,217 to the University of Maryland, College Park under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 1, 2025, to support a five-year CAREER project extending through July 31, 2030. The project will develop innovative artificial intelligence (AI)-enabled tools leveraging large language models (LLMs) to advance language...
- Federal Grant Award Summary Dartmouth College's Office of Sponsored Projects received a $460,590 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 1, 2026 through June 30, 2031. This CAREER award supports research aimed at developing artificial intelligence systems that incorporate human cognitive principles through concept...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded The Johns Hopkins University a Project Grant of $447,317 effective October 1, 2025, through July 31, 2027, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This award funds research to develop novel algorithms and methodologies for extracting causal structure from diverse, unstructured datasets across multiple environments. The...
- Federal Project Grant Award Summary The Johns Hopkins University received a $441,528 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective April 15, 2026 through March 31, 2031. This CAREER award supports development of a novel computational imaging framework that integrates physical forward models with generative diffusion models to characterize the full...
- Federal Grant Award Summary The University of Massachusetts Lowell received a $341,598 CAREER Project Grant from the National Science Foundation's 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. This award funds the development of a linguistically grounded framework for robust and interpretable neural language models that addresses critical challenges in...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $462,092 to the University of Maryland Baltimore County under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) beginning June 1, 2026, through May 31, 2030. This collaborative research project, titled "TALENT-AI: Training and Learning for Emerging New Technologies with Artificial Intelligence," develops evidence-based curricula and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded the University of Maryland, College Park a Project Grant of $331,428 (CFDA 47.070 – Computer and Information Science and Engineering) commencing October 1, 2025, with a completion date of September 30, 2030. This CAREER award supports research focused on secure code generation with large language models (Code LLMs), addressing critical security vulnerabilities in AI-driven...
Federal Project Grant Award Summary The Johns Hopkins University received a $357,069 Project Grant 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), awarded August 15, 2026, with a completion date of July 31, 2031. This CAREER award funds the development of interpretable, large language model (LLM)-based artificial intelligence systems designed to identify cross-disciplinary connections and structural parallels across scientific literature. The primary deliverable is a suite of transparent AI tools that help researchers discover hidden linkages between ideas across different scientific domains while providing evidence-based explanations to verify the validity of suggested connections. All tools and datasets will be released publicly and integrated into peer-review processes at major research conferences to support real-world scientific evaluation. In addition to research tool development, the project delivers substantial educational and workforce development products, including paid summer research internships for Baltimore high school students, a new artificial intelligence literacy course for pre-college students, integration of research tools into undergraduate curricula, and inclusive workshops and mentoring initiatives designed to broaden participation in computing and artificial intelligence. These combined outputs aim to accelerate scientific discovery while simultaneously advancing AI competency and diversity in the science and technology workforce.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $357.1k | 4/3/26 |