Opportunity Information: Apply for RFA HG 24 005
The ML/AI Tools to Advance Genomic Translational Research (MAGen) - Coordinating Center funding opportunity (RFA-HG-24-005) is an NIH cooperative agreement aimed at standing up the central hub for the MAGen Consortium. The overall goal of the consortium is to test the feasibility of building machine learning and artificial intelligence approaches that improve how well researchers and clinicians can predict disease expression in people who carry pathogenic genetic variants. In practical terms, the program is focused on the problem of variable expressivity and penetrance: two people can have the same disease-associated variant, yet show very different symptoms, severity, onset age, or even no clear disease at all. The Coordinating Center is meant to be the connective tissue that helps multiple funded research sites work as one integrated team rather than as isolated projects.
This award is specifically for the Coordinating Center, which will work in close collaboration with the MAGen research sites funded under the companion announcement (RFA-HG-24-004). The Coordinating Center is expected to organize and drive consortium-wide collaboration to accelerate tool development and to ensure consistency across sites. That includes designing the structures and routines that make a distributed consortium function smoothly: shared plans, common technical standards, aligned scientific priorities, and coordinated decision-making. Because this is a cooperative agreement, the NIH will have substantial programmatic involvement, meaning awardees should expect an ongoing partnership with NIH staff and a stronger emphasis on coordination, milestones, and consortium governance than in a typical investigator-initiated grant.
A major emphasis of the Coordinating Center is end-to-end coordination across technical, scientific, and administrative domains. On the technical side, the center is expected to support shared data and analytics practices that enable tool development and evaluation across multiple projects. On the scientific side, it is responsible for helping the consortium agree on what success looks like, how models should be validated, what metrics to use, and how cross-site comparisons will be done so results are credible and reproducible. On the administrative side, it will typically handle meeting logistics, reporting, documentation, facilitation of working groups, and the operational processes that keep a multi-institution effort on track. The NOFO also highlights dissemination, so the Coordinating Center is not only expected to help build and test ML/AI tools, but also to help package, share, and communicate resulting resources so they can be used by the broader community.
The announcement also stresses the importance of bringing diverse teams together to enable “synergistic and collaborative team science.” That points to a coordination role that goes beyond scheduling meetings. The Coordinating Center is expected to actively create the conditions for productive collaboration across disciplines like human genetics, clinical genomics, machine learning, biostatistics, informatics, and implementation-oriented translational science. It also explicitly calls out ELSI-informed development, meaning ethical, legal, and social implications should be incorporated into consortium planning and tool development rather than treated as an afterthought. In this context, ELSI considerations commonly include fairness and bias in model performance across populations, appropriate use and governance of genomic and clinical data, transparency and interpretability expectations, risk of re-identification, consent and data sharing constraints, and how predictions might be used in clinical or research settings without causing harm.
The activity mechanism is UG3/UH3, which is a two-phase cooperative agreement structure commonly used for milestone-driven programs. The UG3 phase is typically a planning and feasibility stage focused on establishing the consortium infrastructure, finalizing shared protocols and standards, and demonstrating early progress toward agreed milestones. The UH3 phase usually supports expanded implementation once feasibility and readiness are demonstrated. The NOFO label “Clinical Trials Not Allowed” signals that the funded activities cannot include conducting clinical trials as defined by NIH, so applicants should frame the work around tool development, validation, and research coordination rather than interventional studies that prospectively assign participants to interventions to affect health outcomes.
In terms of who can apply, eligibility is broad across U.S.-based organizations and government entities. Eligible applicants include state, county, and city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized tribal governments; tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education in those nonprofit categories as specified); for-profit organizations other than small businesses; and small businesses. The NOFO also highlights additional eligible applicant types such as Alaska Native and Native Hawaiian Serving Institutions, AANAPISISs, faith-based or community-based organizations, Hispanic-serving institutions, HBCUs, tribally controlled colleges and universities, regional organizations, eligible federal agencies, and U.S. territories or possessions. At the same time, it clearly restricts foreign involvement: non-U.S. (foreign) organizations cannot apply, non-U.S. components of U.S. organizations are not eligible, and foreign components as defined in NIH policy are not allowed.
Key administrative details provided include the NIH as the sponsoring agency, the funding instrument type as a cooperative agreement, and the activity area as health. The CFDA numbers listed are 93.172 and 93.310. The opportunity was created on May 10, 2024, with an original closing date of July 28, 2024. The listed award ceiling is $800,000, indicating the maximum budget level expected per award under this announcement. The number of expected awards is not specified in the provided data, which often means applicants should consult the full NOFO text for the most current estimate or plan for a competitive process without a guaranteed award count.
Overall, this opportunity is best understood as funding the consortium’s organizing backbone: a Coordinating Center that sets up governance, ensures technical and scientific alignment, embeds ELSI considerations into shared practices, supports cross-site ML/AI tool development and cross-validation, and leads dissemination so the resulting methods and resources can be adopted beyond the immediate consortium.Apply for RFA HG 24 005
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "ML/AI Tools to Advance Genomic Translational Research (MAGen) - Coordinating Center (UG3/UH3, Clinical Trials Not Allowed)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172, 93.310.
- This funding opportunity was created on 2024-05-10.
- Applicants must submit their applications by 2024-07-28. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $800,000.00 in funding.
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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