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Intelligent Generator of Research Program Development in Physical and Life Sciences

Health & Human Services (HHS) > NIHSol: ARPA-H-SOL-26-155
est. $344K – $1.1M

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Quick Brief

The Department of Health and Human Services is procuring the Intelligent Generator of Research (IGoR) program, which aims to create an AI-enabled interoperable research ecosystem to enhance research efficiency and accelerate the development of therapies for complex diseases. Key components include mechanistic disease models, an AI orchestration layer, a protocol architecture for reproducible experiments, and a marketplace of validated laboratories. This initiative is designed to significantly speed up the research process and empower researchers to explore innovative research directions.

Generated 13d ago

Contract Details

Awarded Amount
est. $344K – $1.1M
Similar contracts award $119K to $1.1M (median $352K, 69,621 awards)Within typical range
NAICS Codes

Agency & Contact

Contracting Organization

Agency
HEALTH AND HUMAN SERVICES, DEPARTMENT OF
Sub-Agency
NATIONAL INSTITUTES OF HEALTH (ARPA-H)

Point of Contact

John A. Smith
Contracting Officer
(202) 555-0100

Key Dates

Published17d ago
Jul 8, 2026
Became Award Notice16d ago
Jul 8, 2026
Tracked
Last Updated14d ago
Jul 10, 2026
Response Duein 20d
Aug 13, 2026

Description

and Appendix E_Draft Model OT Agreement, as highlighted in yellow. --------------------------------------------------------------------------------------- Amendment 01 adds Appendix E_Draft Model OT Agreement and provides revisions to Appendix B_Solution Summary Format and Instructions, as highlighted. --------------------------------------------------------------------------------------- ARPA-H intends to host a hybrid Proposers Day in early June in the Washington, D.C. metro area. Additional information will be posted when it becomes availiable. The Intelligent Generator of Research (IGoR) program aims to eliminate longstanding inefficiencies in research and accelerate the development of effective therapies for complex diseases by creating an AI-enabled interoperable research ecosystem. IGoR would develop:

1) mechanistic disease models that encode causal biological relationships across scales,

2) an AI orchestration layer that identifies knowledge gaps and designs optimal experiments,

3) a layered protocol architecture that enables any qualified laboratory to execute the same experiment reproducibly, and

4) a distributed marketplace of validated laboratories that execute standardized protocols and return gold-standard data. Together, these components form a cycle of hypothesis generation, experimentation, and model refinement that enables researchers to create validated knowledge at least 10x more rapidly than conventional approaches. Ultimately, IGoR will empower researchers at every level to pursue bold, unconventional research directions that are currently too slow, too complex, or too resource‑intensive. IGoR ISO

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