Project Grant 2525351
- Federal Grant Award Summary This collaborative research project grant, awarded by the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), provides $229,687 in funding to University of California, Los Angeles to develop automated program analysis techniques for shell scripts. The project, active from March 15, 2026 through February 28, 2029, delivers ahead-of-time verification and bug...
- Federal Project Grant Summary Award Overview The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded a Project Grant of $225,000 to The Trustees of the Stevens Institute of Technology on March 15, 2026, with a completion date of February 28, 2029. This collaborative research initiative falls under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) and focuses on developing automated program analysis...
- Federal Project Grant Award Summary Brown University received a $477,651 Project Grant from the National Science Foundation's (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with completion targeted for September 30, 2028. The research project develops a novel class of machine learning models that generate 3D assets from text descriptions by producing procedurally-generated...
- Federal Project Grant Award Summary Brown University received a $364,562 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, with an award date of June 15, 2025, and completion date of May 31, 2028. This Research Experiences for Undergraduates (REU) Site award supports the delivery of an interdisciplinary research and education program in artificial...
- Federal Project Grant Award Summary Brown University received a $188,325 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) effective August 1, 2025, through July 31, 2028. The award supports fundamental research in number theory focused on determining rational points on modular curves and investigating uniformity properties of elliptic curves. The principal investigator will develop advanced quadratic Chabauty...
- Federal Grant Award Summary Brown University received a $330,000 collaborative research 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 August 1, 2025, through July 31, 2029. This award supports research on protecting privacy and promoting fairness in advanced genomic research through federated learning methodologies. The project addresses the critical...
- Federal Grant Award Summary Brown University received a $200,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) effective July 15, 2025, through June 30, 2028. The award supports fundamental research in geometry and dynamical systems, with primary deliverables including mathematical proofs and theoretical advances in optimal paper geometry and geometric dynamics. Specifically, the Principal Investigator...
- Federal Grant Award Summary Brown University received a $338,955 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for a collaborative research initiative spanning September 1, 2025, through August 31, 2028. The award supports fundamental mathematical research on non-homogeneous harmonic analysis, specifically investigating singular integral operators in non-smooth environments. The...
- Federal Grant Award Summary Brown University received a $300,000 Project Grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), awarded August 15, 2025, with completion targeted for July 31, 2026. This Pathways to Enable Open-Source Ecosystems (POSE) Phase I project delivers a comprehensive assessment and strategic roadmap for establishing an open-source ecosystem that accelerates the adoption of open-source tools for...
- Federal Grant Award Summary Brown University received a $320,881 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), awarded August 15, 2025, with completion targeted for July 31, 2029. The LANDS (Learning-Based Adaptive Networked Systems for Delivery of Short Videos) project is a collaborative research initiative focused on improving the efficiency and delivery of...
Brown University received a $454,687 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on March 15, 2026, with a completion date of February 28, 2029. This collaborative research project develops fully automated, ahead-of-time program analysis techniques to detect and prevent bugs in shell scripts before execution. The research team will employ methods drawn from programming languages, type systems, and static program analysis to create tools that identify correctness issues and catch errors in shell programs—a prevalent programming language consistently ranked in the top 10 most popular languages in use. The project specifically addresses the critical challenge of shell script vulnerabilities that interact with file systems and broader computing environments, where undetected bugs have resulted in catastrophic outcomes including data loss in production systems. The deliverables include advanced analysis techniques and diagnostic frameworks that enable developers to prevent undesirable events and precisely diagnose root causes of bugs to guide effective fixes. By automating the detection and prevention of shell script errors prior to execution, this research will benefit both developers and end-users in industry and scientific computing environments. No subawards are planned for this project.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $454.7k | 3/3/26 |