Project Grant 2506058
- This $125,627 federal Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), will support collaborative research to develop advanced statistical tools for analyzing large-scale biomedical imaging data. The research aims to overcome key challenges in causal analysis of imaging outcomes, including addressing issues such as unmeasured confounding and population heterogeneity. The project, led by Iowa State University, will...
- 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 federal Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of new theoretical frameworks for self-supervised representation learning and their applications in biomedical research. The project aims to advance the theoretical foundations of this machine learning approach and expand its use in biomedical domains where labeled data is scarce. Key anticipated outcomes include new...
- This National Science Foundation project grant award of $120,000 supports research into integrative heterogeneous learning for intensive complex longitudinal data under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). Specifically, the University of Illinois will develop new statistical methods and computational tools to address practical biomedical applications involving high heterogeneity and large numbers of decision stages. Key areas of focus include identifying...
- This National Science Foundation Project Grant of $133,850 supports research at Clemson University under the Mathematical and Physical Sciences program (CFDA 47.049) from August 15, 2022 through July 31, 2025. The award will fund the development of statistical analysis frameworks to incorporate abundant data features, including medical images, genetic information, and other patient characteristics, into precision medicine decision-making tools. Specifically, the researchers will adapt...
- This $124,487 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences Program (CFDA 47.049) will fund research to develop advanced statistical tools and techniques for analyzing large-scale biomedical imaging data. The research aims to overcome key challenges in causal analysis of imaging outcomes, including handling computational demands and addressing issues like unmeasured confounding and population heterogeneity. The resulting data analytics tools are...
- 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 National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...
- This $200,000 project grant was awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program to the University of Delaware. The grant will support the development of new nonparametric learning methods for high-dimensional survival data analysis, with applications in causal inference and sequential decision-making problems. The research aims to advance the state-of-the-art in areas like medical risk factor discovery, personalized treatment...
- The National Science Foundation (NSF) awarded a $212,365 Project Grant under the Computer and Information Science and Engineering (CISE) program to The University of Iowa for a project titled "DESIGNING STRUCTURE-PHENOTYPE QUERY-RETRIEVAL AND ANALYSIS SYSTEMS FOR MICROSCOPY-BASED WHOLE ORGANISM STUDIES". The project aims to develop algorithms and systems for integrated storage, querying, and analysis of complex structure-phenotype data generated from research studying the effects of...
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 goal is to provide biomedical researchers with tools to tackle key healthcare questions, accelerate scientific discovery, and interpret complex biomedical data. The project will also support graduate student training in statistical methodology and biomedical applications, and release open-source software to extend the impact across the scientific community. The award period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $120.0k | 8/6/25 |