Funder: National Institutes of Health
Due Dates: January 7, 2027 (Closing date for applications)
Funding Amounts: $250,000 award ceiling; budgets expected at no more than $250,000 annually in direct costs, for up to 4 years
Summary: Supports novel informatics and data science research that turns personal health data into understandable, actionable insights for individuals.
Key Information: Research products must be open source and freely available to biomedical and behavioral researchers and educators.
Description
This NIH R01 opportunity, administered by the National Library of Medicine (NLM) with participation from the National Institute of Mental Health (NIMH), supports research advancing personal health informatics. It funds novel approaches to collecting, integrating, analyzing, and interpreting personal health data so individuals can understand and improve their health. Relevant work includes personalized risk assessments, AI/ML-generated insights, and methods for communicating predictions, uncertainty, and limitations.
Projects should engage intended end users and evaluate approaches using real-world data and/or studies with intended users. The goal is generalizable, reusable, and scalable tools, systems, and platforms—not simply application development. Research may address a specific condition or a broader view of health, including data from wearables, smartphones, electronic health records, and social or environmental sources.
