Project Grant 2348164
- This project grant, awarded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), provides $200,000 in funding to the University of Utah for a two-year period (July 1, 2025 – June 30, 2027). The award supports fundamental mathematical research focused on understanding random growth patterns and stochastic processes that occur naturally in complex systems such as disease spread, crystal formation, and traffic...
- This $300,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental mathematical and computational research on complex stochastic systems with infinite degrees of freedom. The project aims to develop new theoretical frameworks and analytical techniques for studying the asymptotic behavior of stochastic partial differential equations (SPDEs) with multiple scales and conservation laws. The...
- This $390,000 National Science Foundation project grant supports research into branching processes, random partial differential equations, and their applications from September 2022 through August 2025. Funded through the Mathematical and Physical Sciences program (CFDA 47.049), this award to Stanford University will advance tools and understanding of the connections between branching processes and nonlinear parabolic equations. Specifically, researchers will study branching Brownian motion in...
- This Project Grant from the National Science Foundation Division of Mathematical Sciences provides $163,383 to the University of Arizona under the Mathematical and Physical Sciences program (CFDA 47.049) from June 1, 2022 to May 31, 2025. The award supports research on nonlinearity in reaction-diffusion and kinetic equations, with a focus on developing tools to understand the long-time behavior of several reaction-diffusion systems and the well-posedness theory of various collisional kinetic...
- The National Science Foundation (NSF) Division of Mathematical Sciences has awarded a $300,000 Project Grant to Cornell University to support research on stochastic models and their properties. The key objectives of this 3-year grant, which runs from July 15, 2023 to June 30, 2026, are to: Develop novel methodologies to characterize different types of orbits exhibited by Markov semigroups on Hilbert spaces, providing a comprehensive understanding of these structures. Utilize the classification...
- This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) Project Grant to George Mason University will contribute theoretical and computational approaches for understanding the dynamics of reaction-diffusion systems, which have applications in biology, ecology, physics, and engineering. The $269,996 award, effective from Jul 1, 2024 to Jun 30, 2027, will focus on three key project areas: Analyzing reaction-diffusion equations defined on networks, including...
- This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $230,826 to Michigan State University for research on nonlocal reaction-diffusion equations and Wasserstein gradient flows from August 1, 2022 to July 31, 2025. The research focuses on qualitative properties of solutions to nonlocal reaction-diffusion equations arising in biology and ecology; development and convergence analysis...
- This $388,536 project grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences, under the Mathematical and Physical Sciences (CFDA 47.049) program, supports fundamental research at the University of Massachusetts (UMass) to study the propagation of randomness in nonlinear wave phenomena. The key objectives of the 3-year project are to: Analyze the long-term dynamics and stability of dispersive flows from a probabilistic perspective in energy subcritical regimes....
- This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (MPS) program in the amount of $199,555 supports collaborative research on stochastic shape processes and inference. Led by a team of investigators from the U.S. and U.K., the project will develop methods for modeling how biological and other shapes change over time, using statistical frameworks to capture shape variations across objects and populations. This research aims to advance the...
- This three-year Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $659,740 to the University of North Carolina at Chapel Hill to support research centered around stochastic dynamical systems describing interacting particle behavior. The research aims to characterize typical behavior, fluctuation probabilities, and large deviations for such systems as the number of particles...
LONG TIME DYNAMICS AND GENEALOGIES OF STOCHASTIC REACTION-DIFFUSION SYSTEMS -STOCHASTIC MODELS OF REACTION-DIFFUSION TYPE ARE CRUCIAL FOR MODELING SPATIAL INTERACTIONS AND RANDOMNESS IN DYNAMICAL SYSTEMS ACROSS NUMEROUS SCIENTIFIC DISCIPLINES. DESPITE THEIR UTILITY, THESE MODELS ARE MATHEMATICALLY CHALLENGING, DUE TO ISSUES INCLUDING HIGH DIMENSIONALITY AND NONLINEAR INTERACTIONS. THIS PROJECT WILL ADDRESS THESE CHALLENGES BY FOCUSING ON THE CRITICAL ROLE OF SPACE IN INFLUENCING POPULATION DYNAMICS, WHICH IS PIVOTAL FOR QUESTIONS IN ECOLOGY, EVOLUTIONARY BIOLOGY, AND VIROLOGY. THE OUTCOMES OF THIS PROJECT MAY PROVIDE INSIGHTS THAT IMPROVE MANAGEMENT OF ECOSYSTEMS AND TREATMENTS FOR VIRAL INFECTIONS. THE RESEARCH WILL ALSO CONTRIBUTE TO THE DEVELOPMENT OF NOVEL MATHEMATICAL METHODS AND PROMOTE THE PARTICIPATION OF A DIVERSE GROUP OF STUDENT RESEARCHERS. OUR SPECIFIC FOCUS IS ON A CLASS OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS (SPDES) WHERE SPACE IS MODELED AS A GENERAL METRIC GRAPH, ALLOWING FOR A DETAILED EXAMINATION OF SPATIAL EFFECTS ON POPULATION DYNAMICS. THIS APPROACH NOT ONLY ADDRESSES THE THEORETICAL CHALLENGES BUT ALSO BRIDGES THE GAP WITH MICROSCOPIC PARTICLE MODELS. PI WILL EXPLORE SEVERAL KEY PHENOMENA, INCLUDING TRAVELING WAVEFRONTS, THE ASYMPTOTIC SPEED OF STOCHASTIC WAVES, AND GENEALOGIES IN EXPANDING POPULATIONS. BY INTEGRATING INNOVATIVE TECHNIQUES FROM VARIOUS BRANCHES OF MATHEMATICS INCLUDING PROBABILITY AND SPECTRAL GRAPH THEORY, THIS PROJECT AIMS TO SIGNIFICANTLY ADVANCE THE UNDERSTANDING OF SPDES ON METRIC SPACES. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | ($79k) | 5/21/25 | ||
| Not listed | $110.0k | 3/20/24 |