Project Grant 2541910
- Federal Project Grant Award Summary The University of Michigan received a $329,020 CAREER award from the National Science Foundation (NSF), Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 15, 2025, through May 31, 2030. This project grant funds the development of novel analytical methodologies and computational tools designed to enable causal inference and robust statistical modeling on...
- Federal Grant Award Summary Carnegie Mellon University received a $331,723 CAREER award 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 June 1, 2026 through May 31, 2031. The award supports research developing new mathematical and computational tools for solving large-scale problems involving networks, optimization, and data analysis. The project...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded the Regents of the University of Michigan a Project Grant totaling $324,789.00 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective October 1, 2025, through January 31, 2026. This CAREER award supports the development of theoretically-grounded algorithms and methodologies designed to enable machine learning (ML) systems to...
- Federal Project Grant Award Summary The University of Michigan received a $367,296 Project Grant award 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). The CAREER award, effective May 1, 2026 through April 30, 2031, supports development of generative artificial intelligence (AI) systems that create fast, physically realistic four-dimensional simulations of dynamic...
- This Project Grant award, valued at $600,000.00, was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award, with a performance period from January 1, 2026 to December 31, 2028, is supporting research by the Regents of the University of Michigan in the areas of extremal combinatorics and the analysis of algorithms. The primary goals are to solve basic classification questions in the theory of...
- Federal Grant Award Summary Northeastern University received a $390,160 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), effective May 1, 2025, through April 30, 2030. The award funds a CAREER project focused on advancing sublinear-time graph algorithms—computational methods designed to process massive datasets by extracting meaningful information...
- Federal Grant Award Summary The University of Michigan received a $300,000 Project Grant award 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 August 1, 2025, through July 31, 2029. This collaborative research initiative focuses on enhancing Graph Neural Networks (GNNs) through data-centric improvements rather than model refinement alone. The project delivers three...
- The National Science Foundation awarded a $250,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into a new paradigm for distributed information processing, simulation and inference in networks through application of the "law of small numbers." The University of Michigan will leverage its expertise in computing and communications foundations to...
- Federal Grant Award Summary The University of Michigan received a $263,764 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), effective October 1, 2025 through September 30, 2029. This collaborative research award supports fundamental research addressing critical challenges in discrete and continuous optimization, with the goal of developing faster...
- Federal Grant Award Summary Michigan State University received a $245,618 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, through September 30, 2027. This CAREER award, funded in part through the American Rescue Plan Act of 2021, supports research to develop methods for designing and evaluating Information and Communication...
Federal Grant Award Summary The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded a five-year CAREER grant totaling $530,283 to the University of Michigan, effective May 1, 2026 through April 30, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project grant supports fundamental research advancing the theoretical and algorithmic understanding of paths in graphs—a critical computational problem with applications across transportation networks, chemical pathways, and digital information systems. The research will deliver theoretical foundations and algorithmic solutions addressing three primary objectives: (1) developing graph simplification methods that preserve essential path properties while reducing computational complexity, (2) resolving structural bottlenecks inherent to directed graph algorithms, and (3) creating dynamic and query-based algorithms capable of efficiently adapting as data is revealed over time. The deliverables from this research initiative will enhance foundational computer science knowledge applicable to artificial intelligence development and large-scale graph processing in modern applications. By establishing stronger theoretical proofs of correctness and efficiency for path-based algorithms, this project will provide the scientific community with improved methodologies for simplifying and processing massive, evolving graphs commonly encountered in contemporary research. The award specifies no planned subawards, with all work to be conducted at the University of Michigan's Ann Arbor campus.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $530.3k | 3/25/26 |