Project Grant 2601545
- Federal Grant Award Summary The University of California, San Diego received a $299,846 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded September 1, 2026, with completion scheduled for August 31, 2029. This collaborative research award funds the development of a mathematical framework for scalable species tree estimation from whole-genome data using site pattern scoring schemes. The project advances the CASTER (Comparative Analysis...
- This National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences Project Grant of $295,263 aims to improve the estimation of species trees from genomic datasets. The award, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund the development of innovative mathematical, statistical, and computational techniques to analyze phylogenomic data without relying on gene tree estimation. This approach is intended to produce more reliable species tree...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $300,000 to the University of Wisconsin–Madison under the Mathematical and Physical Sciences program (CFDA 47.049) for a collaborative research project running from July 1, 2026, through June 30, 2029. This project develops novel statistical methodologies to distinguish direct genetic effects from environmentally mediated influences in human genetic studies. The research...
- Federal Grant Award Summary The Division of Mathematical Sciences (DMS) within the National Science Foundation awarded a $500,000 Project Grant to Stanford University on August 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049). This four-year research initiative, extending through July 31, 2029, develops enumerative combinatorics frameworks that characterize novel discrete mathematical structures underlying phylogenetic trees and networks. The research delivers...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a $422,039 Project Grant to the University of Wisconsin - Madison under the Biological Sciences program (CFDA 47.074) on October 1, 2025, with completion scheduled for August 31, 2026. This collaborative research initiative, titled "PhenoBase: Community, Infrastructure, and Data for Global-Scale Analyses of Plant Phenology," develops machine learning methods to extract phenological data—information about plant...
- Federal Project Grant Award Summary The University of Wisconsin-Madison received a $180,000 project grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2026. This award supports fundamental research in computability theory and enumeration degrees, focusing on understanding the relative algorithmic complexity of non-computable mathematical problems. The...
- Federal Project Grant Award Summary The University of Wisconsin-Madison received a $299,669 Project Grant awarded on May 15, 2025, by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds research in Wasserstein-guided nonparametric Bayesian methods, with completion targeted for June 30, 2027. The project develops new statistical methodology enabling flexible departures from traditional generative...
- Federal Project Grant Award Summary The University of Wisconsin-Madison received a $200,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period July 1, 2025 through June 30, 2027. The project conducts fundamental mathematical research on growth and motion in random media, including first-passage percolation, corner growth models, and directed polymer models. The primary...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $303,694 to the University of Wisconsin-Madison on July 15, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to support fundamental research in analysis and spectral theory through June 30, 2028. The project delivers rigorous mathematical analysis of models describing wave propagation phenomena in physics, including electromagnetic and acoustic waves, with...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $180,000 to the University of Wisconsin - Madison under the Mathematical and Physical Sciences program (CFDA 47.049) on July 15, 2026, with a completion date of June 30, 2029. This project develops fast, flexible, and accurate covariance models for Gaussian processes—a foundational statistical approach used in prediction and uncertainty quantification across machine learning and...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded $327,547 to the University of Wisconsin–Madison on September 1, 2026, under CFDA 47.049 (Mathematical and Physical Sciences) for a collaborative research project on species tree estimation from whole-genome data. The three-year project (through August 31, 2029) develops mathematical frameworks and algorithms to improve evolutionary biology analysis by enabling separate evolutionary histories for different genomic regions. The research builds upon and theoretically validates the CASTER method, a fast and accurate site-pattern scoring approach, while extending its applicability to additional evolutionary models including the multispecies coalescent, multi-copy genes, and substitution-rate heterogeneity. The project delivers research outputs including novel mathematical characterizations of valid linear scoring schemes for quartet-based species tree estimation, improved computational algorithms, and open-source software tools for genome-scale evolutionary analysis. These tools will be disseminated through software schools and training programs. The research supports broader applications in biotechnology, invasive species management, disease outbreak analysis, and artificial intelligence methods for large heterogeneous datasets, while training students at the interface of mathematics, computer science, and biology.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $327.5k | 6/1/26 |