Artificial Intelligence/Machine Learning Consortium
to Advance Health Equity and Researcher Diversity
We are 4,152 AI/ML & Health Equity Experts from 1,194 Institutions

Year 3 Call for Proposals Released

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, and tribal accredited health departments; 2) limited resource higher education institution; 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. Over 370 health departments exist in the United States (U.S.), 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, from early detection and monitoring, predictive analytics, disease surveillance and monitoring, and outbreak detection to healthcare resource allocation, and personalized interventions. Partnerships among public health department professionals, academic researchers, and data-science/AI/ML experts can further leverage data-driven insights that contribute to more effective and efficient public health strategies to improve community health outcomes. These approaches align with the overarching Healthy People 2030 goal “to eliminate health disparities, achieve health equity, and attain health literacy to improve the health and well-being of all”.


Mutually beneficial partnerships comprised of health departments, academic institutions, and private data science-oriented organizations can play a crucial role in addressing barriers and promoting the successful implementation of AI/ML capabilities.


Read full Call for Proposal


Key Dates

Solicitation Release Date: April 25, 2024

Application Due Date: June 25, 2024, 11:59 ET

Scientific Review: July 15, 2024

Earliest Start Date: September 9, 2024


Help Desk

Questions regarding Public-Private Partnerships to Improve Population Health using AI/ML may be directed to:

The AIM-AHEAD Clinicians Leading Ingenuity IN AQuality (CLINAQ) Fellowship Program is a one-year fellowship (September 16, 2024 - August 29, 2025) that seeks to operate in parallel with clinical practice to empower clinicians (defined below) in the field of Artificial Intelligence/Machine Learning (AI/ML). The term clinician encompasses a broad range of professionals including physicians, nurses, physician assistants, therapists, and pharmacists, among others. By fostering an interdisciplinary approach, the CLINAQ Fellowship cultivates a new generation of clinicians who can champion innovation in AI for healthcare.


Fellows will select among opportunities to actively participate in the development of AI tools, assess the suitability for AI/ML solutions for specific clinical/workflow challenges, and identify AI/ML approaches that will enhance equity in the delivery of care. The program’s focus is to mitigate biases, enhance cultural competence and address healthcare disparities among diverse patient populations. The program offers courses in AI and Ethics, Clinical AI workshops, mentoring, leadership training and peer networks, all while fostering the development of a community of clinicians from diverse backgrounds with a common interest in AI/ML. By equipping a diverse cohort of clinicians with AI/ML skills and knowledge, the program will enhance the representation of diverse perspectives in healthcare technology. An interdisciplinary, team approach will be emphasized to foster innovation and improve patient outcomes.


Read full Call for Proposal


Key Dates

Solicitation Release Date: May 15, 2024

Application Due Date: June 30, 2024

Application Review Date: July 16, 2024

Earliest Start Date: September 16, 2024


Help Desk

Questions regarding the CLINAQ Fellowship Program may be directed to:

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