Project Grant 2453009
- Federal Grant Award Summary The President and Fellows of Harvard College received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective July 1, 2026 through June 30, 2029. The award supports research on complex dynamics and moduli spaces—mathematical structures that classify geometric shapes and forms across various disciplines. The research integrates analytical,...
- Federal Grant Award Summary The University of Massachusetts received a $115,643 Project Grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084), effective October 1, 2025, through September 30, 2028. The award funds the design, development, and sustainability of FLTest, an interdisciplinary testbed that automates privacy and robustness evaluations for federated learning systems. The testbed addresses critical gaps in...
- Federal Project Grant Award Summary Harvard College, through its Office for Sponsored Programs, received a $400,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) on June 1, 2026, with completion targeted for May 31, 2029. The award funds research into tensor decomposition algorithms designed to analyze multi-context data across scientific domains. The investigator will develop new...
- Federal Project Grant Award Summary Harvard College's Office for Sponsored Programs received a $175,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective July 1, 2026, with completion targeted for June 30, 2029. This collaborative research initiative will develop the Binary Expansion Group Intersection Network (BEGIN)—a novel statistical framework for learning from data at the...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $188,518 Project Grant to Harvard College (President and Fellows of Harvard College) effective June 1, 2026, through May 31, 2029, under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports fundamental research in arithmetic statistics with a focus on developing topological tools to address major open conjectures in number theory, including the Cohen-Lenstra...
- The National Science Foundation awarded a $400,000 Project Grant to President And Fellows Of Harvard College from July 15, 2021 to June 30, 2024. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this award, Harvard researchers will develop algorithms and data structures to enhance predictive capabilities....
- This federal Project Grant award, totaling $256,260, was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Program (CFDA 47.070). The award, titled "CAREER: An Algorithmic Theory of Diffusion Models," is led by President and Fellows of Harvard College and aims to forge new connections between distribution learning and diffusion models, which are critical to the recent revolution in generative artificial intelligence (AI)....
- The National Science Foundation awarded a $600,000 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into developing new differentially private stochastic optimization algorithms for training neural networks while preserving individual privacy. Specifically, the grantee will investigate fundamental tradeoffs between privacy and performance in modern...
- Federal Project Grant Summary The National Science Foundation's Division of Information and Intelligent Systems awarded Harvard College $470,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to develop interaction techniques and foundational principles for establishing long-term human-artificial intelligence (AI) collaborations. The project, which runs from October 1, 2025, through September 30, 2029, focuses on designing AI systems that maintain shared...
- Federal Grant Award Summary The President and Fellows of Harvard College received a $235,812 Project Grant award from the U.S. Army Research Development and Engineering Command under the Department of the Army's Basic Scientific Research program (CFDA 12.431) on August 1, 2026, with completion targeted for July 31, 2029. The award supports research to leverage large language model (LLM) capabilities to bridge the gap between natural language operational requirements and formal mathematical...
Federal Grant Award Summary Harvard College received an $800,000 Project Grant award dated October 1, 2025, from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084) to develop and implement privacy-preserving machine learning tools. The project, titled "Track 3: Rigorous and Performant Differentially Private Machine Learning via OpenDP," will create freely available software tools that integrate differentially private stochastic gradient descent capabilities into OpenDP, a community-driven open-source software project. These tools will incorporate integration with Opacus, an existing open-source differentially private machine learning library, to enable organizations to train large artificial intelligence models with strong privacy protections while minimizing computational overhead and performance degradation. The award addresses a critical national need to protect sensitive personal information in AI systems trained on datasets containing private data in government services, healthcare, and education. By making state-of-the-art privacy protection methods practical and accessible to developers and researchers, this initiative will advance public trust in AI technologies, strengthen American competitiveness in privacy-preserving AI development, and enable secure use of AI in critical national infrastructure. The project will conclude September 30, 2028, and is performed in Boston, Massachusetts.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $800.0k | 9/23/25 |