Project Grant 2602109
- Federal Grant Award Summary Washington State University received a $149,949 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded on September 15, 2025, with completion targeted for August 31, 2028. This collaborative research initiative will develop novel mathematical models and statistical methods to detect historical changes in the spillover rates of zoonotic infectious diseases from wildlife to humans and livestock by analyzing...
- Federal Project Grant Award Summary The Division of Mathematical Sciences within the National Science Foundation (NSF) awarded $179,147 to the University of Florida under CFDA 47.049 (Mathematical and Physical Sciences) for a collaborative research project on multiscale modeling of viral infections. The project commenced September 1, 2026, with completion targeted for August 31, 2029. This award funds the development of integrated mathematical and computational frameworks that link viral...
- Federal Project Grant Award Summary The University of Tennessee at Chattanooga received a $173,777 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded September 1, 2026, with completion targeted for August 31, 2029. This collaborative research project develops multiscale mathematical and computational modeling frameworks for viral infections that integrate processes across three interconnected levels: intracellular dynamics (viral entry,...
- Federal Project Grant Award Summary Arizona State University received a $728,406 Project Grant from the National Science Foundation (NSF) Division of Integrative Organismal Systems under the Biological Sciences program (CFDA 47.074), awarded February 15, 2026, with completion targeted for August 31, 2028. This collaborative research initiative develops a mathematical and analytical framework to study higher-order interactions (HOI)—simultaneous, multi-party interactions among system...
- Federal Project Grant Award Summary The University of Idaho received a $224,888 Collaborative Research Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) effective September 15, 2025 through August 31, 2028. This award supports the development of novel mathematical models and statistical methods designed to detect historical changes in the rate of infectious disease spillover from wildlife to humans and...
- Federal Project Grant Award Summary The University of Michigan received a $300,000 collaborative research project grant awarded September 1, 2025, by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award through August 31, 2028, funds the development of next-generation phylodynamic mathematical and computational tools designed to extract epidemiological information from viral genomes....
- Federal Grant Award Summary San Diego State University Research Foundation received a $200,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. The award funds collaborative research to develop Math-Model Informed Neural Networks (MINN) that integrate emerging mathematics in mosquito-dengue biology with computational methods. The...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $139,848 Project Grant to The Washington University, effective September 1, 2025 through August 31, 2028, under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops statistical inference methods for exchangeable network models, addressing the growing scientific need for principled analytical tools applicable to relational data across biology,...
- Federal Grant Award Summary The University of Washington received a $125,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on September 15, 2025, with a completion date of August 31, 2028. This collaborative research project develops theoretical foundations and methodological advances for causal learning from complex machine learning algorithms. The primary products include...
- Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $232,771 to the University of Arkansas, Fayetteville under the Mathematical and Physical Sciences program (CFDA 47.049) on September 15, 2025, for a project titled "Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms." The project, scheduled for completion by August 31, 2028, will develop computational mathematical tools and frameworks to predict protein-protein...
Washington State University received a $173,787 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049, Mathematical and Physical Sciences program) effective September 1, 2026, through August 31, 2029. This collaborative research initiative develops multiscale mathematical and computational modeling frameworks to integrate viral infection dynamics across three interconnected biological scales: intracellular processes (viral entry, replication, assembly, and release), extracellular dynamics (viral kinetics and immune responses including antibody and cellular immunity), and population-level transmission (incorporating multiple transmission routes, vaccination, waning immunity, and variant emergence). The project delivers research products including the development and analysis of unified multiscale mathematical systems that couple intracellular mechanisms with host immune responses and population transmission processes. The research applies dynamical systems analysis, bifurcation theory, and stochastic modeling to generate insights into viral growth mechanisms, immune system responses, and treatment efficacy. By linking biological processes across scales, the work aims to provide actionable guidance for evaluating disease reduction strategies and includes educational and outreach activities designed to train students in interdisciplinary approaches to mathematical modeling in biomedical research and public health.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $173.8k | 6/1/26 |