Project Grant 2621546
- The National Science Foundation Division of Computing and Communication Foundations awarded William Marsh Rice University $423,517 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel artificial intelligence framework for representing, visualizing, and analyzing large heterogeneous geospatial signal sets. The project will create a Multivariate Neural Field (MVNF) framework—a continuous function representation using a shared...
- The National Science Foundation Division of Mathematical Sciences awarded Drexel University $100,000 on June 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop theory and methodology for statistical inference on spatiotemporal rates of change and gradients, with application to boundary assessment in spatiotemporal datasets. The project will create statistical and computational methods to quantify and understand change within large, complex spatiotemporally...
- The National Science Foundation Division of Mathematical Sciences awarded $199,000 to the University of Houston System on July 1, 2026, for development of a learning-augmented multiscale modeling framework for flow in porous media, under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops mathematical and computational approaches combining multiscale modeling with machine learning to improve reduced models for complex flow systems in energy and environmental...
- William Marsh Rice University was awarded a $269,195 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant funds the CAREER: STABLE AND SCALABLE ESTIMATION OF THE INTRINSIC GEOMETRY OF MULTIWAY DATA project under the Mathematical and Physical Sciences program (CFDA 47.049). The project will develop new statistical methods to analyze multiway data in a stable and scalable manner to promote progress in the mathematical and physical sciences. The funding...
- William Marsh Rice University was awarded a $149,994 project grant from the National Science Foundation Division of Mathematical Sciences on August 15, 2021 to complete work by July 31, 2024. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increasing knowledge and enhancing understanding of major problems. Specifically, Rice University will conduct...
- The National Science Foundation Division of Social and Economic Science awarded William Marsh Rice University $252,672 on October 1, 2025, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop new test methods for making statistical inference about linear regression coefficients. The research will produce a complete small-sample and asymptotic theory for randomization-based inference applicable to linear regressions. The methodology is designed to be robust to...
- The National Science Foundation Division of Mathematical Sciences awarded William Marsh Rice University (Office of Sponsored Projects) one hundred thousand dollars on September 1, 2026, for collaborative research on atoroidal surface bundles under the Mathematical and Physical Sciences program (CFDA 47.049). The investigators will study the geometry, topology, and algebra of manifolds constructed from two-dimensional surface slices, with a focus on proving that these bundles admit Gromov...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant to William Marsh Rice University in Houston, TX to conduct research on the applications of stochastic analysis to statistical inference for stationary and non-stationary Gaussian processes. This award, under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), aims to provide scientists with demonstrably correct tools for analyzing correlations between time series data, such as global mean temperatures and...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Miami $299,601 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop distributional reinforcement learning methods for risk-sensitive sequential decision-making in clinical support, financial risk management, and autonomous systems. The project, running through June 30, 2029, establishes finite-time guarantees for quantile temporal difference learning in...
- The National Science Foundation Division of Mathematical Sciences awarded Texas A&M University $269,999 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop and analyze optimal data assimilation algorithms for computational models of physical systems. The project addresses the mathematical theory of finite element methods in cases where a physical law governing behavior inside a domain is known but boundary conditions are unknown or...
The National Science Foundation Division of Mathematical Sciences awarded William Marsh Rice University $118,655 on August 1, 2026, to develop scalable quantile learning techniques for analyzing large-scale spatial-temporal data. The project, funded under the Mathematical and Physical Sciences program (CFDA 47.049), will advance analytical methods to unlock insights from heterogeneous spatial and temporal datasets while accounting for uncertainty and dynamic patterns. Deliverables include a flexible quantile spatial model framework that captures spatial nonstationarity and heterogeneity through spatially varying coefficients, a scalable distributed learning procedure using domain decomposition computing for efficient handling of large spatial datasets across complex domains, and communication-efficient aggregation methods for estimation. The research team will make these techniques accessible through public software releases to enable researchers and policymakers to address spatial-temporal variations in environmental hazards, health crises, and crime. The project incorporates STEM education through undergraduate and graduate student engagement and course development. Performance occurs in Houston, Texas, with completion targeted for August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $118.7k | 7/30/26 |