Intelligent Generator of Research (IGoR)
ARPA-H seeks proposals to build an AI-enabled interoperable research ecosystem that generates mechanistic disease models, designs experiments, standardizes protocols, and coordinates validated laboratories to accelerate therapy development for complex diseases.
⚑ Federal contract solicitation (not a grant); applicant restrictions apply but the notice text does not specify the class in the excerpt. · Hybrid Proposers Day in early June in the Washington, D.C. metro area. · ARPA-H program focused on platform/ecosystem development and standardized experimental workflows rather than single-disease basic science.
This is a biomedical/AI research infrastructure program aimed at accelerating mechanistic therapy discovery and lab automation, which is far outside this team’s core work in public risk perception, weather/climate communication, energy, and policy evaluation. They might engage only peripherally on the AI/data-science framing, but no roster member’s own published line matches this opportunity.
JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-07-07
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 90 strong | technical depth: central; funds applied research |
| IPPRA | 58 good | peripheral portfolio topic: public_health; social/behavioral work is minor; funds applied research; biomedical core — IPPRA health lane is communication/crisis/policy (capped) |
| Tom Love Innovation Hub | 45 partial | funds applied research; prototyping/demonstration stage; deep-tech content |
Description
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.
Eligibility
Applicant restrictions (federal contract). Set-aside: No Set aside used. Notice type: Solicitation. Organization: HEALTH AND HUMAN SERVICES, DEPARTMENT OF / NATIONAL INSTITUTES OF HEALTH / ADVANCED RESEARCH PROJECTS AGENCY FOR HEALTH (ARPA-H).
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