Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1)
🏛 National Institutes of Health (HHS-NIH11)
✓ Free, no account · Source: Grants.gov · Last verified Oct 30, 2026
Can you apply?
This grant is for research teams investigating biomedical questions using multiple complementary methods, model systems, or populations. Applicants must include coordinated multi-team collaboration focused on a central research question. Projects must demonstrate how replication is built into the design and address signal robustness and biological variability.
Eligible applicants typically include domestic for-profit and nonprofit organizations, academic institutions, and government agencies. Researchers must hold eligible positions at institutions with active NIH Federal Wide Assurances. International collaborations are allowable but the lead institution must be domestic.
The program supports biomedical and behavioral research within NIH's mission. Proposed work should emphasize rigorous methodology and cross-method validation to identify reliable biological signals.
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Key dates
- Sep 11, 2026 Applications open
- Oct 1, 2027 Application deadline in 335 days
- Jul 1, 2028 Award announced
- Jul 1, 2028 Project start
Program description
R3PEATS Multi-Team Triangulation supports coordinated teams to investigate a central biomedical research question through complementary methods, model systems, or populations. Projects must identify signal robustness and sources of biological variability while building replication into the research design. This effort is a part of the NIH Common Fund’s Rigor, Replicability, & Reproducibility to Promote Excellence, Accuracy, & Translation in Science (R3PEATS) program.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- SF-424 (R&R)
- Project Narrative/Research Plan
- Budget and Budget Justification
- Biosketches (all key personnel)
- Institutional Support Letters (for each participating team)
- NIH Vertebrate Animals or Human Subjects protocols (if applicable)
Program contact
- 👤 R3PEATS Program
- 📧 R3PEATS@mail.nih.gov
- 📞 Please contact via e-mail.
Funding track record
Recent awards under CFDA 93.310 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$198,364,987
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$179,737,926
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$169,422,678
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$148,383,140
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$143,679,156
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$115,739,255
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$79,886,847
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$68,845,964
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$60,300,930
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$56,167,589
Top States by Funding
- MD 2 awards $317.8M
- CA 1 awards $198.4M
- NJ 1 awards $179.7M
- TN 1 awards $143.7M
- NY 2 awards $116.5M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.310). How funding has trended year over year.
| 2024 | $1,174,839,078 | |
| 2025 | $1,062,277,534 | |
| 2026 est. | $28,100,048 |
FAQ
What is the main focus of R3PEATS Multi-Team Triangulation?
This program funds coordinated research teams using complementary methods or populations to validate biomedical findings. Projects must build replication into the design and examine signal robustness.
Who can apply for this grant?
Domestic for-profit and nonprofit organizations, academic institutions, and government agencies are eligible. Your institution must have an active NIH Federal Wide Assurance.
Is collaboration required?
Yes. The grant specifically supports multi-team projects investigating a central question through coordinated, complementary approaches.
How competitive is this grant?
Highly competitive. This is an NIH Common Fund program emphasizing rigorous science. Strong preliminary data and clear methodology are essential.
When is the deadline?
The fixed deadline is October 1, 2027. Check NIH's grants portal for any updates or rolling submission opportunities.
💡 Tips for applicants
- Build your team first. Identify collaborators with truly complementary expertise and methods before drafting the proposal.
- Show how you'll detect and account for biological variability across your approaches. Detail your validation strategy clearly.
- Include preliminary data from each team demonstrating their proposed method works on your target question.
- Emphasize replication explicitly. Explain how your design prevents single-method artifacts and confirms robust signals.
- Use your budget to show each team's independence while highlighting data integration points and joint dissemination plans.
⚠️ Common mistakes
Treating collaboration as secondary rather than central to the project design. Proposing teams using similar methods instead of truly complementary approaches. Failing to build robust replication strategy into the research plan.
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