Advance Whole-Person Data Integration and Reimagine Data Science Computations and Analytics to Address Chronic Disease Disparity Grand Challenge
NIH Challenges' Grand Challenge seeks innovative, AI-ready data integration and analytics solutions to advance whole-person chronic disease disparities research.
Funder: NIH Challenges
Due Dates: November 23, 2026: Registration Deadline | January 22, 2027: Phase I Submission End | July 9, 2027: Phase II Submission End | November 19, 2027: Phase III Submission End
Funding Amounts: $1,000,000 total; Phase I: up to 10 x $10,000 | Phase II: up to 4 x $100,000 | Phase III: $275,000 (1st), $225,000 (2nd)
Summary: A multi-phase NIH Grand Challenge to advance scalable, AI-ready data integration and analytics for whole-person chronic disease disparities research.
Key Information: Only U.S. citizens or U.S.-incorporated entities can win cash prizes; each phase is open only to winners of the prior phase.
Description
This NIH Grand Challenge, led by the Science Collaborative for Health and Artificial intelligence Reduction of Errors (SCHARE), aims to revolutionize chronic disease disparities research by developing innovative, AI-ready data integration methods and advanced analytics. The focus is on integrating diverse data types—including biological, behavioral, environmental, healthcare, and social factors—into scalable, interoperable research infrastructure. The challenge is structured in three competitive phases: concept development, prototype building, and validation, with progressive eligibility based on prior phase success. Participants are tasked with creating reusable, trustworthy, and equitable data science solutions that uncover root causes, predict risks, and inform interventions to reduce chronic disease disparities.
