Project Grant 2514834
Award Date
10/1/24
Completion Date
10/31/27
Dollars Obligated
$450K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Portland, OR 97239, USA
Similar Awards
This Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program provides $591,893 to Oregon Health & Science University (OHSU) from October 1, 2024 to March 31, 2026. The project aims to develop new mathematical models and computational frameworks to optimize the mining of biological functions from single-cell multi-omics data. Key objectives include: 1) creating a subspace representation model to identify transcriptional regulation and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal Project Grant award, with CFDA number 47.070, provides $182,477 in funding to Tufts University to develop "decision-aware" machine learning methods that can directly satisfy stakeholder goals in applications such as detecting heart disease and predicting opioid overdoses. The 5-year project, starting on July 1, 2024, will focus on three key technical innovations: 1) decision-aware...
This four-year Project Grant from the National Science Foundation's Division of Molecular and Cellular Biosciences provides $885,852 to Oregon Health & Science University under the Biological Sciences program (CFDA 47.074) from August 2021 through July 2025. The funding supports quantitative exploration of molecular machine mechanisms to advance understanding of major challenges in biology. As the stated purpose of the Biological Sciences program is to promote progress in the field and...
This Project Grant award for $600,000, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research at Brown University to develop new computational methods for integrating heterogeneous health data. The goal is to improve predictive modeling and explainable artificial intelligence techniques for advancing personalized healthcare and treatment. The key products of this 5-year project include novel graph-based...
This $320,502 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems is for a collaborative research project titled "Knowledge Discovery from Highly Heterogeneous, Sparse and Private Data in Biomedical Informatics." The research aims to mine healthcare data to identify patients likely to develop chronic conditions like type 2 diabetes and heart failure, and to develop models for opportunistic screening, particularly for...
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 Project Grant award, funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083), aims to advance the field of spatially-resolved cellular molecular profiling. The $276,308 award, which runs from May 2025 to April 2030, supports the development of novel computational and statistical methods to identify spatial gene expression patterns and study tissue changes in development or disease conditions. Key objectives include: Developing a novel algorithm for...
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...
The National Science Foundation awarded a $299,854 project grant to The Johns Hopkins University under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to support the Observational Health Data Sciences and Informatics Open Source Ecosystem development project from September 15, 2022 to August 31, 2023. The project aims to mature open source governance and further develop the software ecosystem of the Observational Health Data Sciences and Informatics community. Specific...
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...