Grand Challenges – Overview

The Grand Challenges (GCs) will generate new biomedical and behavioral data sets ready to be used for developing AI technologies, along with creating data standards and tools for ensuring data are findable, accessible, interoperable, and reusable, a principle known as FAIR. In addition, grand challenges will develop training materials that promote a culture of diversity and the use of ethical practices throughout the data generation process. Through extensive collaboration across projects, Bridge2AI researchers will create guidance and standards for the development of ethically sourced, state-of-the-art, AI-ready data sets that have the potential to help solve some of the most pressing challenges in human health — such as uncovering how genetic, behavioral, and environmental factors influence a person’s physical condition throughout their life.

The four Bridge2AI Grand Challenges are:


AI/ML for Clinical Care

Functional Genomics

Precision Public Health

Headshot for Yael Bensoussan.
Yael Bensoussan
Contact Principal Investigator
University of South Florida
Headshot for Trey Ideker.
Trey Ideker
Contact Principal Investigator
University of California San Diego
Headshot for Eric Rosenthal.
Eric Rosenthal
Contact Principal Investigator
Massachusetts General Hospital
Headshot for Aaron Lee.
Aaron Lee
Contact Principal Investigator
University of Washington