Infrastructure Core
Assess data, computing, and software infrastructure to facilitate AI/ML and health disparities research
About
There are a wide variety of data and computing infrastructure options to facilitate artificial intelligence and machine learning (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 AIM-AHEAD Coordinating Center (A-CC) works 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.
