AIM-AHEAD Public-Private Partnerships to Improve Population Health Program

The AIM-AHEAD Public-Private Partnerships to Improve Population Health Using AI/ML program is designed to support mutually beneficial triadic partnerships among a 1) local, state, or tribal accredited health departments; 2) limited resource higher education institutions; and 3) a data-science oriented organization with an accessible data library to collaboratively conduct health research related AI/ML studies that align with the overall goal of AIM-AHEAD.

Program Awardees Poster Session at the AIM-AHEAD Annual Meeting
Program Awardees Poster Session at the AIM-AHEAD Annual Meeting

Program Goals

Build Cross-Sector Partnerships

Connect health departments, academic institutions, and data science organizations

Expand AI/ML Research Networks

Grow the AIM-AHEAD Consortium and strengthen collaboration among partners

Generate Proof-of-Concept Research

Support pilot studies that lead to publications and future grant applications

AIM-AHEAD Public-Private Partnerships Program

Program Awardees

Participants in the Public-Private Partnerships to Improve Population Health Using AI/ML Program help to expand the AIM-AHEAD consortium, to generate consortium pilot grant applications, and to enhance the professional networks of AIM-AHEAD stakeholders, particularly those from groups and organizations underrepresented in AI/ML research.

Findings from the funded projects are expected to generate strong proof-of-concept data that can serve as the empirical foundation for subsequent NIH grant applications. Expected outcomes include the submission of a peer-reviewed manuscript and the development of plans for a subsequent grant application from the awardee teams.

Distribution of Cohort 1 Awardees by Hub
Distribution of Cohort 1 Awardees by Hub

Geographical Distribution of Awardees by Institution

AIM-AHEAD Public-Private Partnerships Program

Program Impact

The Public-Private Partnerships to Improve Population Health Using AI/ML Program is expected to expand the AIM-AHEAD consortium, lead to consortium pilot grant applications, and enhance the professional networks of AIM-AHEAD stakeholders, particularly those from groups and organizations lacking in AI/ML research capabilities.

Findings from funded projects are expected to generate strong proof-of-concept data that can serve as the empirical foundation for subsequent NIH grant applications. Expected outcomes include the submission of a peer-reviewed manuscript and the development of plans for a subsequent grant application from the awardee teams.

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Program Directors Bettina M. Beech, DrPH, MPH; Spero M. Manson, PhD
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