Infrastructure Core

Assess data, computing, and software infrastructure to facilitate AI/ML and health disparities research

There are a wide variety of data and computing infrastructure options to facilitate AI/ML. Cloud platforms, for example, integrate data storage, computing cycles, security, and, often, analysis tools for geographically distributed users and groups. Distributed or federated learning approaches are more appropriate when data cannot be pooled. The A-CC will work with consortium members to assess needs and constraints, and pilot and test different data and computing infrastructure, tools, and governance models including data policy and organizational models.

Contact Infrastructure Core

Alex Carlisle, Ph.D. (Lead MPI)

National Alliance Against Disparities in Patient Health

Bradley Malin, Ph.D. (MPI)

Vanderbilt University Medical Center

Paul Avillach, MD Ph.D. (MPI)

Harvard Medical School