Project Grant 2412408
- This $180,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of novel community detection tools and frameworks for analyzing weighted network data, with a focus on applications in bioinformatics and biological science. The primary goals are to identify highly correlated gene modules by leveraging covariance or correlation matrix representations, and to provide a systematic, computationally...
- This $299,965 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences will allow Colorado State University (CSU) to develop and validate a new statistical model and analytical methods for assessing extremal dependence in high-dimensional data. This work aims to improve quantification of joint risks in applications such as finance, insurance, and climate science. The project will include training a graduate student in extreme value analysis techniques...
- This National Science Foundation (NSF) Division of Mathematical Sciences Project Grant, under the Mathematical and Physical Sciences program (CFDA 47.049), awarded Colorado State University $144,726 to develop and apply new algebraic tools to enhance statistical and AI methods for detecting outliers, recovering missing data, and identifying hidden constraints in high-dimensional data analysis. The research aims to create a self-adaptive, linear-time algorithm to separate signals, find hidden...
- 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...
- Federal Project Grant Award Summary The University of Massachusetts received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective September 1, 2025 through August 31, 2028. This award funds research into data-driven modeling and inference methods for high-order models on complex networks. The project develops computationally efficient, scalable algorithms to simulate and...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $139,848 Project Grant to The Washington University, effective September 1, 2025 through August 31, 2028, under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops statistical inference methods for exchangeable network models, addressing the growing scientific need for principled analytical tools applicable to relational data across biology,...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), will support research on optimization techniques and geometrically constrained neural networks for threat detection. The $250,000 award to Colorado State University (CSU) will run from September 1, 2024, to August 31, 2027. The research will focus on adapting and tuning mathematical tools, including geometry, topology, optimization, and machine learning,...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) is funding collaborative statistical research and methodology development for analyzing object-valued time series data. The $174,344 award to The Washington University, which began on January 1, 2025, will support the development of new models, techniques, and theory for statistical inference and change detection in object-valued time series across various scientific and...
- 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...
- Federal Grant Award Summary Colorado State University received a $200,000 Project Grant from the National Science Foundation (NSF), Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. This award supports fundamental research into the topology of configuration spaces—mathematical spaces that represent all possible positions of multiple agents within a given environment while excluding...
This $292,362 federal Project Grant award, provided by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, aims to develop new mathematical theory and statistical tools for monitoring changes in complex systems, such as global trade networks. The project will provide real-time change detection methods with theoretical guarantees for identifying atypical patterns in comprehensive trade databases, with applications to areas like viral load measurements, investment portfolios, and global trade data. The award, granted to Colorado State University's Sponsored Programs division, will also offer interdisciplinary training opportunities for statisticians and data scientists. No sub-awards are planned under this grant, which has a project period from July 2024 to June 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $292.4k | 6/14/24 |