Press Releases & Announcement

Apply to AIM-AHEAD Research and Fellowship opportunities in AI/ML and Health Equity

The Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program seeks to increase the participation and engagement of the researchers and communities currently underrepresented in AI/ML modeling and applications through mutually beneficial partnerships. The Program launched several open funding and fellowship opportunities at the intersections of AI/ML and health disparities. These opportunities are primarily aimed at institutions/organizations that serve underserved and underrepresented populations.


Research Programs:​

Community-Engaged Research:​

Key Dates

  • Solicitation Release Date: April, 2024
  • Application Due Date: June 2024 (for specific dates, refer to each call for proposals).
  • Award Notification date: August 2024
  • Earliest Start Date: September 3, 2024

Don’t miss out! Mark your calendar. The complete list of the current funding opportunities can be found on the AIM-AHEAD Year 3 Call for Proposals Website. Each call for Proposals contains specific details. 

Please direct your questions about these funding opportunities to or through the help desk:

Learn more about the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) Consortium at and and related announcements here and here.

NIH launches Bridge2AI program to expand the use of artificial intelligence in biomedical and behavioral research

Excerpt: The National Institutes of Health will invest $130 million over four years, pending the availability of funds, to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioral research communities. The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program is assembling team members from diverse disciplines and backgrounds to generate tools, resources, and richly detailed data that are responsive to AI approaches. At the same time, the program will ensure its tools and data do not perpetuate inequities or ethical problems that may occur during data collection and analysis. Through extensive collaboration across projects, Bridge2AI researchers will create guidance and standards for the development of ethically sourced, state-of-the-art, AI-ready data sets that have the potential to help solve some of the most pressing challenges in human health — such as uncovering how genetic, behavioral, and environmental factors influence a person’s physical condition throughout their life. …

Department of Energy Invests $1million in Artificial Intelligence Research for Privacy-Sensitive Datasets 

Excerpt: WASHINGTON, D.C.—Today, the U.S. Department of Energy (DOE) announced $1 million for a one-year collaborative research project to develop artificial intelligence (AI) and machine learning (ML) algorithms for biomedical, personal healthcare, or other privacy-sensitive datasets. This funding is in response to congressional direction for DOE to expand its successful collaborative research efforts with the National Institutes of Health (NIH) in the areas of data and computation. …