About

The AIM-AHEAD Coordinating Center (A-CC) is a consortium of institutions and organizations that have a core mission to advance health across all American communities. The A-CC consists of 4 Cores:

The Leadership/Administrative Core leads the A-CC, recruits and coordinates consortium members, project management, partnerships, stakeholder engagement and outreach to develop AI/ML talented researchers in health research, and establishes trusted relationships with key stakeholders to enhance the volume and quality of data used in AI/ML research.

The Data Science Training Core assesses, develops and implements a robust data science training curriculum and workforce development resources in AI/ML. 

The Data and Research Core addresses research priorities and needs by linking and preparing multiple sources and types of research data. To accomplish its mission, the Data and Research Core facilitates the extraction and transformation of data from EHR and data on lifestyle contributors to health for research use.

The Infrastructure Core assesses data, computing and software infrastructure models, tools, resources, data science policies, and AI/ML computing models to facilitate AI/ML and health research; and establishes pilot data and analysis environments to accelerate overall A-CC aims.

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.