Project Grant 2515934

Award Date 7/15/25
Completion Date 6/30/28
Dollars Obligated $270K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Davis, CA, USA
Similar Awards
The University of California, Davis was awarded a $335,849 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop advanced statistical methodology for analyzing complex data in metric spaces from July 1, 2023 to June 30, 2026. Specifically, UC Davis will conduct research to establish regression models, testing and estimation methods, and computational tools for statistical analysis of random objects that take values in...
This Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at the University of California, Davis (UC Davis) to develop new statistical and computational methods for analyzing high-dimensional, noisy, and dynamically changing datasets. The key focus areas of the project include: (1) analyzing the robustness of manifold and deep learning algorithms for complex data; (2) developing statistical...
This $169,999 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at the University of California, Davis (UC Davis) to advance innovative nonparametric data analysis techniques. The project aims to conduct comprehensive statistical and computational analyses to push the boundaries of modern nonparametric statistical inference, with potential applications in areas like nonparametric latent...
The University of California, Davis was awarded a three-year $275,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant supports research to develop innovative methodologies and theoretical foundations for analyzing high-dimensional and non-Euclidean data commonly encountered in fields such as biology, social science, computer science, and astronomy. Key products include...
This $270,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental research in geometric representation theory and symplectic geometry at the University of California, Berkeley. The research aims to develop new tools and solve open problems in these mathematical fields, which draw inspiration from theoretical physics. Key research themes include investigating the cocenter of the affine Hecke category,...
This $240,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at the University of California, Davis (UC Davis) to develop a comprehensive framework for analyzing nonlinear and non-Gaussian functional time series data. The research aims to produce new probabilistic results, introduce two novel functional time series models, and develop accompanying inference procedures for statistical analysis. This...
This $204,372 federal Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports research on the potential theoretic aspects of complex geometry. The principal investigator will employ methods from potential theory, infinite-dimensional geometry, and geometric analysis to investigate a cluster of interconnected questions and conjectures in complex geometry. The project aims to advance scientific knowledge in this...
The National Science Foundation (NSF) awarded a $122,184 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of California, Berkeley to develop innovative exploratory data analysis tools for non-Euclidean and functional data objects. The key products to be delivered include new data depth notions to robustly quantify the centrality of complex, high-dimensional data points, and associated visualization and outlier detection methods....
This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research to develop new tools for studying the geometry and dynamics of physical systems. Key research focus areas include: Investigating the existence and properties of periodic orbits in four-dimensional phase spaces with three-dimensional energy levels Studying the geometry of phase spaces to determine when dynamical systems are equivalent...
This $299,999 National Science Foundation Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) funds research into distance-based statistical methods for analyzing complex, high-dimensional data. The Washington University is the primary awardee, with work conducted from Oct. 2021 through Jun. 2024. The University of Pennsylvania serves as a subawardee, contributing to study design, implementation, analysis and manuscripts through the work of Dr. Bhaswar B....

This Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to advance the field of geometric and topological data analysis. The $270,000 award, with a performance period from July 15, 2025 to June 30, 2028, will fund research to tighten the connections between geometric/topological data analysis and statistics/machine learning. Key focus areas include developing large sample distribution theory for the Euler characteristic process and a novel two-sample testing procedure for manifold isometry based on the heat kernel signature. The project also integrates the training of graduate and undergraduate students. The award recipient is the University of California, Davis, a prominent public research university with extensive capabilities in scientific research, specialized services, and technical support across various federal agencies.

Generated 8/5/25, 5:45 AM