Project Grant 2451011
Award Date
7/15/25
Completion Date
6/30/27
Dollars Obligated
$240K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Irvine, CA 92697, USA
Similar Awards
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 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...
This $155,372 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will fund research to develop advanced statistical methods for extracting insights from high-dimensional, high-frequency "big data." The University of Illinois, Chicago, as the prime awardee, will focus on four key areas: 1) advancing contiguity theory to enable more robust statistical analysis of noisy, high-frequency data; 2) exploring time-varying...
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...
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...
This Project Grant award of $350,000 from the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) supports research by The Trustees of Princeton University to understand the underlying structure and properties of large and complex datasets. The key goals are to develop mathematical and computational methods for efficiently embedding high-dimensional data into simpler, lower-dimensional spaces without significant distortion. This work has applications across diverse...
The University of California, San Diego (UCSD) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports the development of advanced computational and statistical methods for analyzing complex, dependent data from diverse scientific domains such as climate, economics, and neuroimaging. Key research thrusts include subsampling and resampling techniques for large datasets, robust...
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 National Science Foundation (NSF) Division of Mathematical Sciences awarded a $100,000 Project Grant to the University of Central Florida (UCF) to develop efficient and effective algorithms for detecting anomalies in high-dimensional spatiotemporal data with large amounts of missing data. Under CFDA 47.049 - Mathematical and Physical Sciences, the project aims to address the challenge of predicting rare anomalies using high-dimensional real-world data with mixed-type multivariate response,...
This National Science Foundation project grant of $400,000 awarded on August 15, 2022 through July 31, 2025 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research at Duke University to advance statistical and computational methods for releasing high-quality synthetic data as public use files. The research aims to develop novel techniques to improve disclosure risk assessment, quality verification for data analysts, and population generalizability when...