Project Grant 2316857
Award Date 9/1/23
Completion Date 8/31/25
Dollars Obligated $200K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Northfield, MN 55057, USA
Similar Awards
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $239,420 to the Trustees of the Colorado School of Mines to advance statistical methods for analyzing complex, irregularly-spaced spatial data. The goal is to develop novel frequency domain resampling techniques that can better handle the challenges posed by such data, which is critical for fields like geosciences, environmental science, and remote sensing....
- This $121,153 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program will support research to develop advanced statistical methods for analyzing complex spatial point process data. The key products and services to be delivered include: Developing nonparametric Bayesian models to reveal hidden spatial homogeneity and heterogeneity within and across univariate and multivariate spatial...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $149,947 to the University of Houston System to conduct collaborative research on accounting for geolocation errors in spatial point pattern analysis for social science data. The research aims to develop statistical methods to better address location inaccuracies in event data sets used to study phenomena like crime, protests, and terrorism. The team will...
- This federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $299,978 from August 1, 2025 to July 31, 2028 to the University of North Carolina at Chapel Hill (UNC-CH) to develop mathematical foundations and statistical methods for analyzing complex geometric data arising in diverse applications. The funded research aims to advance analytical techniques for handling data sampled from...
- This $149,989 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support research to develop statistical models and inference methods for analyzing random point processes. The research will provide tools for analyzing time series of point process data, with applications in fields such as national security, economics, neuroscience, and geosciences. Key activities include developing parameter estimation procedures,...
- This three-year project grant from the National Science Foundation's Mathematical and Physical Sciences program, totaling $359,940, will support the development of new statistical models and algorithms for analyzing large, spatially-dependent data sets collected from complex domains with irregular boundaries. Specifically, the awardee, Texas A&M University, will introduce a class of nonstationary models that can flexibly characterize potentially heterogeneous spatial dependence while...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to advance research at the intersection of probability, geometry, and combinatorics. The $150,000 award, effective August 15, 2025 through July 31, 2028, supports three specific research directions: (1) efficient methods for statistical inference on geometric probability distributions, (2) investigating combinatorial structures like spanning trees and Hamilton cycles in...
- 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 $365,274 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund the development of novel mathematical techniques and algorithms for designing cost-effective space-time sampling strategies and reconstruction methods for time-evolving functions on graphs. A diverse group of researchers from Northern Illinois University will work to analyze and manage various time-evolving processes sampled under realistic conditions and...
- This $310,918 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to improve undergraduate curricula and faculty professional development for strengthening students' data analysis skills in solid earth geoscience courses. The key products and services to be delivered include: Creating undergraduate teaching materials for investigating solid earth geoscience problems with a focus on data analysis skills Leading and facilitating professional...