{
  "signal_id": "SIG-2026-018",
  "observed_date": "2026-05-05",
  "category": "AI + Biomedical Discovery",
  "title": "ARPA-H IGoR seeks AI-enabled research ecosystems at least 10× faster than traditional approaches",
  "what_changed": "ARPA-H launched IGoR to build rigorous AI-enabled research ecosystems that generate hypotheses, run experiments, refine biological models, and accelerate therapeutic discovery.",
  "why_it_matters": "The program points toward a future in which AI is not only analyzing biomedical data but orchestrating scientific discovery workflows and reusable experimental infrastructure.",
  "affected_actors": [
    "ARPA-H",
    "research institutions",
    "AI labs",
    "biotech",
    "automation platforms",
    "funders"
  ],
  "decision_implication": "Track standards, shared protocols, validated speed/quality gains, and whether the model becomes transferable to aging biology and preventive science.",
  "status": "Active program",
  "evidence_class": "E5 — official ARPA-H source",
  "impact": 5,
  "immediacy": 4,
  "relevance": 5,
  "novelty": 5,
  "adoption_leverage": 5,
  "priority_score": 96,
  "sources": [
    "https://arpa-h.gov/explore-funding/programs/igor"
  ],
  "public_slug": "/signal/2026-05-05-igor-ai-research/",
  "watch_conditions": [
    "Selected teams",
    "research marketplaces",
    "interoperable protocols",
    "reproducibility",
    "demonstrated 10× gains."
  ],
  "last_verified": "2026-08-08",
  "version": "1.0"
}