AIM-AHEAD Year 3 Call for Proposals Released

Please register and attend the informational Zoom webinars to learn more about AIM-AHEAD Year 3 funding opportunities and ask questions you may have.
Which Programs Can I Apply for? 

Scientific Reviewers Needed! - AIM-AHEAD is seeking scientific reviewers to review applications submitted for our Year 3 programs (2024-25). Applications come from a diverse representation of participant backgrounds with varying levels of AI/ML or health equity knowledge and experience, from educational, healthcare, business, governmental, professional, research and policy, community, and faith-based settings. We value your expertise and hope you will join the AIM-AHEAD reviewer pool. Click here or scan the QR code to complete the form.

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This RFA calls for site participation in AIM-AHEAD federated research programs. The research team from each site is expected to (i) assemble EHR data locally from their institution to be used for AIM-AHEAD research projects; (ii) provide informatics expertise to participate in EHR data harmonization across sites; and (iii) facilitate the analysis of EHR data using AI/ML algorithms developed by the AIM-AHEAD researchers. While all patient-level EHR data remain behind the firewalls of the local site, the research team is expected to facilitate the sharing of aggregated data to support AIM-AHEAD research projects.


Expected outcomes for the participating site include protocols for data curation and data sharing fine tuned to their specific institution along with lessons learned. The sites are expected to work with the core team members to assess capacity in running AI/ML models locally and sharing outputs of AI/ML models. During year 2 of the funding cycle, the participating sites are expected to generate and share aggregated data for relevant research questions to enable the research teams to perform federated analyses. 


The participating sites and the AIM-AHEAD Infrastructure Core are expected to jointly work on publications detailing both the process of data curation, data harmonization, AI/ML analyses with local data, as well as federated analyses for selected research questions.


Read full Call for Proposal


Key Dates

Solicitation Release Date: April 16, 2024

Application Due Date: June 3, 2024

Notice of Award Release: August 1, 2024

Earliest Start Date: September 3, 2024



Questions regarding the AIM-AHEAD Federated Research Network may be directed to:

The AIM-AHEAD Research Fellowship Program will engage a group of early-career researchers to actively participate in biomedical research that involves the use of AI/ML methodologies on biomedical research data, clinical and genomic cohorts to address health disparities and inequities, including bias in AI/ML algorithms or data.


The program is open to individuals conducting research at the intersection of healthcare practice and delivery, AI/ML methods, and the advancement of health equity. The AIM-AHEAD Consortium seeks projects  from institutions and their investigators from a variety of fields of study, institutions, and geography.


This Fellowship supports early-career researchers (graduate students, postdocs, junior faculty, and others conducting research outside of an academic institution, within 10 years of completing their highest degree) in implementations of novel and innovative data science and data-focused research problems. The program will provide both funding support and additional AIM-AHEAD resources for researchers who will leverage AIM-AHEAD to gain access to training, data, and infrastructure needed to rapidly develop research skills required in the AI/ML field. The research project needs to address emerging issues that reduce health disparities while improving healthcare and outcomes.


More information about the Fellows of the AIM-AHEAD Research Fellowship Cohort #1, and Cohort #2, including their profiles and research projects.


Read full Call for Proposal


Key Dates

Webinar Date: May 2, 2024 - 2:30 pm -3:30 mp ET

Solicitation release: April 16, 2024

Application Deadline: June 17, 2024 - 5 pm ET

Fellow's Notice of Funding Release: August 12, 2024

Research Fellowship Program Begins: September 3, 2024


Help Desk

Questions regarding the Fellows Program may be directed to:

The goal of the AIM-AHEAD AI/ML in Biomedical Research and Clinical Practice That Embodies Ethics and Equity (ABC-EE) program is to support multidisciplinary teams in the domains of biomedical research and clinical applications to develop and/or use AI/ML technologies that align with and/or extend the AIM-AHEAD ethics and equity principles [1].


This program will support teams at any stage of development, including those creating and/or validating frameworks for reasoning about the creation of AI/ML tools, on application of such tools in biomedical or behavioral health research, and on their translation into clinical care in a socially responsible manner.  Topics of interest for this program include but are not limited to: the co-creation of data and/or AI/ML tools with target populations; the development of privacy enhancing technologies to support the collection, sharing, and/or use of such diverse data in AI/ML; and investigations into the trustworthiness and reliability of AI/ML, including emerging technologies such as generative AI and chatbots.


Applicants are expected to propose projects that address emerging issues to reduce health disparities while improving healthcare and outcomes.


Read full Call for Proposal


Key Dates

Solicitation Release Date: April 26, 2024

Application Due Date: June 16, 2024 (11:59 EDT)

Application Review Date: July 26, 2024

Earliest Start Date: September 16, 2024


Help Desk

Questions regarding the ABC-EE Program may be directed to:


[1] Hendricks-Sturrup R, et al. Developing ethics and equity principles, terms, and engagement tools to advance health equity and researcher diversity in AI and machine learning: modified delphi approach. JMIR AI. 2023; 2: e52888.

The 2024 Call for Proposals (CFP) of the AIM-AHEAD Consortium Development Program (CDP) focuses on Innovation for Equity in Low-Resource Settings and provides funding to catalyze multi-disciplinary research projects to plan and pilot Artificial Intelligence/Machine Learning (AI/ML) algorithms or tools to address health disparities and minority health in cancer, cardiometabolic and mental/behavioral health. The projects must engage healthcare organizations serving patients in Federally Qualified Health Centers (FQHCs) or Community Health Centers (CHCs) from Medically Underserved Areas (MUAs) as defined by Health Resources and Services Administration (HRSA) and/or serving a disproportionately high percentage(s) of NIH-designated health disparity populations (as defined below) to design and pilot AI/ML-aided tools, models or interventions. As such, a community-engaged design phase grounded in AIM-AHEAD Ethics and Equity Principles is required for all funded projects, with ongoing engagement and bidirectional communication between AI and ML developers and communities (e.g., health care professionals, patient representatives) throughout the project. Innovation for Equity is responding to the challenge that medically underserved areas are not benefiting from advances in AI/ML at the same pace as higher-resource settings, and many AI/ML models are not informed by the data, needs, and perspectives of communities impacted by health disparities.


Read full Call for Proposal


Key Dates

Solicitation Release Date: April 26, 2024

Webinar: May 9, 2024, 11am - 12 noon PT/ 2 pm - 3 pm ET

Register for Webinar

Internal Submission Deadline: June 17, 2024, 11:59 pm ET

Programmatic Review Completed: July 26, 2024

Earliest Start Date: September 16, 2024


Help Desk

Questions regarding AIM-AHEAD Consortium Development Program may be directed to:

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 overall goal of the AIM-AHEAD Hub-Specific Projects is to advance the conduct of community-based participatory research (CBPR) using AI/ML to address and reduce health disparities. This funding opportunity will support small-scale research projects co-led by community-based organizational leaders and researchers from academic institutions. Collaborative teams are encouraged to submit applications using novel approaches to address diseases and conditions that disproportionately affect populations that experience health disparities. Approaches that utilize the interests, concerns, and values of communities have led to improvements in population-level outcomes.


The seven AIM-AHEAD regional hubs solicit hub-specific project applications that: 1) support research teams that equitably include community stakeholders to address critical health challenges using AI/ML methods; 2) facilitate direct interaction between key stakeholder teams, AIM-AHEAD hubs, and AIM-AHEAD technical cores; 3) utilize CBPR approaches to advance AI/ML-related capacity building opportunities for vulnerable communities; and 4) enhance community stakeholder understanding of and familiarity with AI/ML analytic methods. Funding for these small-scale projects is expected to establish and facilitate sustainable efforts that will enhance community leadership in AI/ML research, accelerate the dissemination of study findings back to communities, and generate preliminary data to enhance the competitiveness of future larger-scale community-engaged NIH grant applications for AI/ML research applications.


Read full Call for Proposal


Key Dates

Solicitation Release Date: 05/1/2024

Application Due Date: 06/16/2024

Programmatic Review Date: 07/26/2024

Earliest Start Date: 09/16/2024


Help Desk

For questions regarding the Hub-Specific Pilot Program, please create a help desk ticket and select the regional hub in the dropdown based on your location (map):

The AIM-AHEAD Clinicians Leading Ingenuity IN Al Quality (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

Informational Webinar: June 3, 2024 — 5pm ET/4pm CT 

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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