Notice of Special Interest (NOSI): Computational and Statistical Methods to Enhance Discovery from Health Data
Department of Health and Human Services ▸ National Institutes of Health ▸
Description
The National Library of Medicine is offering research grants for projects that develop new methods to improve large health data sets and analytics. This includes reducing data errors, addressing AI ethical concerns, and tackling algorithm biases. Key areas of interest are creating new computational or statistical tools, correcting data biases, testing algorithms, and enhancing data integration and analysis.
The National Library of Medicine (NLM) invites research grant applications that propose innovative methods and approaches to address problems with large health data sets or analytic tools. The focus is on reducing gaps and errors in data sets used for health research, addressing AI ethical issue…
Source
Grant ID
NOT-LM-23-001
Funding Source
Department of Health and Human Services ▸ National Institutes of Health ▸
Key Dates
Opportunity Released
January 19, 2023
Similar opportunities
- Accelerating Biomedical Discoveries through Data Science
- Notice of Special Interest (NOSI): Advancing Data Science Research in HIV: Responding to a Dynamic, Complex, and Evolving HIV Epidemic with Artificial Intelligence/Machine Learning
- Community Engagement Evaluation and Data Coordination (CEED) Hub to Advance Data and Practice Transformation for Optimizing Oral Health For All Across the Lifespan (U01, Clinical Trial Not Allowed)
- Notice of Funding Opportunity (NOFO) for Computational Genomics and Data Science
- Innovative Research and Development in Biomedical Informatics and Data Science