AIM-AHEAD Public-Private Partnerships to Improve Population Health using Artificial Intelligence/Machine Learning (AI/ML) Program
Program Directors
Bettina Beech, DrPH, MPH; Spero Manson, PhD
Purpose
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 equity-related AI/ML studies that align with the overall goal of AIM-AHEAD.
About AIM-AHEAD
Artificial Intelligence/Machine Learning Consortium to Advance Health Equity And Researcher Diversity (AIM-AHEAD) is an initiative funded by the National Institutes of Health that is dedicated to enhancing diversity in the field of artificial intelligence and machine learning (AI/ML), with emphasis on reducing health disparities and promoting health equity. Led by the AIM-AHEAD Coordinating Center, this program has cultivated a diverse nationwide consortium that embraces equity and transparency, aimed at leveraging AI/ML to enhance health outcomes across diverse and under-resourced communities. Through the establishment of strategic partnerships, targeted research programs, and engagement with key stakeholders, AIM-AHEAD continues to bolster participation and foster meaningful involvement within the AI/ML and health equity field.
Participants
Over 370 health departments exist in the United States, many of whom are accredited and have research units that conduct and manage grant applications. Public health departments work to achieve health equity and serve as a force in their communities to shape the conditions for population health. These organizations are critical and trusted organizations that can benefit from enhancing their AI/ML capabilities to advance various aspects of public health. Cohort 1 awardees will help establish partnerships among public health department professionals, academic researchers, and data-science/AI/ML experts in order to further leverage data-driven insights that contribute to more effective and efficient public health strategies to improve community health outcomes.
Cohort 1 Awardees
- Grazyna Badowski: University of Guam
- Jeronimo Cortina: University of Houston
- Muhammed Idris: Morehouse School of Medicine
- Mario Marinez: Fort Lewis College
Regional Distribution of Awardees - Cohort 1
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 underrepresented in AI/ML research. 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.
Program Inquiries
All questions and inquiries regarding this program can be directed to the Public-Private Partnerships HelpDesk. Please create a help ticket here: HelpDesk - Submit a Ticket