Project Grant 2515719
- 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 federal Project Grant award of $239,420.00 from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to advance statistical methods for analyzing complex spatial data. The investigators at the Colorado School of Mines aim to develop novel frequency domain resampling techniques that can effectively handle irregularly spaced spatial data, a common challenge in fields like geosciences and environmental science. The new methods will...
- This $175,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will fund research to develop new statistical and computational methods to enhance the reliability of data analysis in modern, large-scale datasets, particularly in the era of AI. The key areas of focus include: (1) analyzing the robustness of manifold and deep learning algorithms for high-dimensional, noisy, and nonlinear data; (2) developing statistical theory...
- This federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $375,000.00 to Iowa State University of Science and Technology to develop statistical and machine learning tools for data integration and data fusion. The project aims to enhance the analysis of complex survey data with big data sources, as well as improve scientific conclusions drawn from multiple datasets. Key activities include research on mass...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $119,994 to the University of Iowa to develop statistical models for analyzing longitudinal biomedical data. The project aims to address challenges in understanding changes in biological markers over time, using multidimensional data. The research team will collaborate with neuroscientists to adapt and enhance modeling approaches for analyzing data from mouse studies. The...
- 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 Project Grant award of $194,675 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop new econometric and statistical methods that allow researchers to draw valid conclusions from complex data in a variety of social, behavioral, and medical science settings. The key products and services to be delivered include: Developing a generally applicable reparameterization procedure for informative...
- The National Science Foundation awarded a $252,937 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the University of Chicago. The purpose of this 3-year grant, which runs from September 1, 2023 to August 31, 2026, is to enhance statistical methods for analyzing temporally observed, multi-sample data in fields such as environmental science, epidemiology, and economics. The research team will develop innovative approaches to estimate and infer trends in data...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Office of International Science and Engineering (CFDA 47.079) supports collaborative research to develop robust statistical methods for analyzing high-dimensional, nonstationary time series data. The research aims to construct reliable estimators of autocovariance structures that can accommodate outliers and structural changes, enabling more accurate detection and quantification of shifts in complex, evolving systems....
- This $320,525 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports research at Iowa State University to develop novel conformal inference models and algorithms that can enable reliable uncertainty-aware decision making with unreliable data. The project focuses on four key research objectives: 1) Relaxing overly optimistic data assumptions to handle data noise across the conformal...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences Program (CFDA 47.049) provides $200,000 in funding to Iowa State University of Science and Technology to conduct collaborative research on developing efficient and accurate statistical methodologies for analyzing complex data without relying on stringent data modeling assumptions. The key products and services to be delivered through this award include: The research aims to advance data-driven inference in fields such as environmetrics, economics, finance, geology, and astronomy, where model-free statistical approaches can play a critical role in data analysis. The project duration is from August 1, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/23/25 |