R3PEATS Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1)

The R3PEATS Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1) opportunity is a forecasted federal grant from the U.S. Department of Health and Human Services through the National Institutes of Health. The opportunity is identified as RFA-RM-28-012 and is associated with Assistance Listing 93.310, Trans-NIH Research Support. It is part of the NIH Common Fund's Rigor, Replicability, & Reproducibility to Promote Excellence, Accuracy, & Translation in Science, or R3PEATS, program. The opportunity is categorized as discretionary funding, uses a grant funding instrument, and falls within the Health funding activity category. The purpose of the opportunity is to support coordinated research teams investigating a central biomedical research question through complementary approaches. Projects are expected to use complementary methods, model systems, or populations to address the central research question. The research design must address signal robustness and identify sources of biological variability. Replication is also expected to be built directly into the research design. These requirements reflect the program's emphasis on rigor, replicability, reproducibility, scientific discovery, and the ability to assess whether research findings remain robust across different approaches or conditions. The forecast indicates estimated total program funding of 5000000 and an expected five awards. No award ceiling or award floor is provided in the available forecast, so a maximum or minimum individual award amount cannot be established from the source. Cost sharing or matching is explicitly listed as not required. The available forecast does not provide additional spending restrictions, allowable cost categories, indirect cost limitations, subaward limitations, or a stated period of performance. Those details therefore cannot be established from the currently available material and may be provided when the full funding opportunity is posted. Eligibility is broad. Eligible applicants listed in the forecast include state governments, county governments, city or township governments, special district governments, independent school districts, public housing authorities and Indian housing authorities, federally recognized Native American tribal governments, other Native American tribal organizations, public and state controlled institutions of higher education, private institutions of higher education, nonprofits with 501(c)(3) status other than institutions of higher education, nonprofits without 501(c)(3) status other than institutions of higher education, for profit organizations other than small businesses, and small businesses. Additional eligible applicants include eligible agencies of the federal government, U.S. territories or possessions, faith-based or community-based organizations, regional organizations, and non-domestic entities or foreign institutions. No U.S. state-specific limitation is identified. The opportunity remains in the forecast stage and is not yet at its estimated posting date. The forecast was dated September 11, 2026 and was last updated September 11, 2026. The estimated posting date is July 1, 2027, and the estimated application due date is October 1, 2027. Because the available material is only a forecast, it does not provide a complete submission process, application package, required application questions, required uploads, pre-application requirement, letter of intent requirement, concept paper requirement, or evaluation criteria. Applicants will need to rely on the subsequently posted funding opportunity for definitive submission mechanics and application requirements. The estimated award date is July 1, 2028, and the estimated project start date is July 1, 2028, for fiscal year 2028. No recurring schedule or statement that this opportunity will be offered annually, biennially, quarterly, or on another repeating cycle is provided, so recurrence cannot be established. Program questions may be directed to the R3PEATS Program at R3PEATS@mail.nih.gov. No individual contact person or telephone number is identified in the available forecast.

Center the project on a central biomedical research question and demonstrate meaningful coordination across teams. Use complementary methods, model systems, or populations. Design the research to identify signal robustness and sources of biological variability, and build replication directly into the research design.