Project Grant 2610524
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded Clemson University $549,922 on August 15, 2026, under the Engineering program (CFDA 47.041) to develop statistical tools and hydrologic models that quantify shifts in the magnitude and timing of extreme hydrological events such as floods and drought, identify the direction of change, and determine underlying mechanisms driving these shifts. The project will produce open-source...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $199,961 Project Grant to North Carolina State University to develop a synergistic framework for accurate and real-time prediction of rare extreme events using observational data and mathematical models. The grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), aims to increase the accuracy of extreme event predictions while reducing computational costs to enable real-time...
- The National Science Foundation Division of Mathematical Sciences awarded the University of South Carolina $159,813 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop generative bootstrapping methods for uncertainty quantification in massive dependent data. The project combines approximate inference for dependent data with generative artificial intelligence tools to enable faster, more reliable, and scalable uncertainty assessment for applications...
- The National Science Foundation Division of Mathematical Sciences awarded Clemson University $314,928 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop structured rational approximation and efficient Krylov methods for large-scale matrix computations. The award funds development of a unified mathematical framework and algorithms to accelerate matrix computations arising in simulation, control, model reduction, networks, quantum dynamics, data-driven...
- The National Science Foundation Division of Mathematical Sciences awarded Clemson University $198,113 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop transparent and trustworthy artificial intelligence and statistical methods that integrate multimodal patient data—including medical images, genetic data, and clinical measurements—into individualized and adaptive medical treatment guidance. The project creates a unified statistical and machine...
- The National Science Foundation Division of Mathematical Sciences awarded Clemson University $199,999 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct research on weighted theory and compactness problems in harmonic analysis. The project runs through August 31, 2029, with performance at Clemson, South Carolina. The research addresses sharp weighted norm inequalities and compactness conditions for central operators spanning harmonic analysis,...
- This $299,965 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences will allow Colorado State University (CSU) to develop and validate a new statistical model and analytical methods for assessing extremal dependence in high-dimensional data. This work aims to improve quantification of joint risks in applications such as finance, insurance, and climate science. The project will include training a graduate student in extreme value analysis techniques...
- The National Science Foundation Division of Mathematical Sciences awarded Clemson University $265,000 on August 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop data-driven control frameworks for systems governed by partial differential equations. The research establishes analytical and computational foundations for controlling complex PDE systems across applications including soft robotics, building energy systems, vehicle autonomy, smart manufacturing,...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded South Carolina State University $199,421 on September 1, 2026, under the Engineering program (CFDA 47.041) to advance forecasting tools for coastal flooding and extreme rainfall in South Carolina. The project will investigate relationships between large-scale oceanic and atmospheric variability and regional extreme precipitation and sea-level variability. Historical climate observations will be...
The National Science Foundation Division of Mathematical Sciences awarded Clemson University $192,147 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop statistical methods for integrating sparse observational data with large synthetic event datasets to improve hazard assessment for rare geophysical events. The recipient will create a unified statistical framework that models hurricane storm surges, earthquake-generated tsunamis, and volcanic eruptions as multivariate spatio-temporal point processes. The framework employs optimal-transport-based data fusion to improve statistical inference under severe data scarcity, incorporates statistical emulators for computationally intensive physics-based simulators, and applies comprehensive uncertainty quantification accounting for limited observations, simulation bias, and emulator approximation error. Applications to hurricane storm surges and volcanic eruptions will demonstrate the framework's utility and establish broadly applicable statistical methodology for quantifying rare geophysical hazards. The work supports interdisciplinary research opportunities for students and strengthens collaborations between statisticians and geoscientists. Performance occurs at Clemson University in Clemson, South Carolina, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $192.1k | 7/16/26 |