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HORIZON-CL4-2026-04-DIGITAL-EMERGING-09

Advanced Local Digital Twins using AI for Early Warning and Preparedness

IACluster 4€6,000,00015 Apr 2026
Topic CodeHORIZON-CL4-2026-04-DIGITAL-EMERGING-09F&T Portal
Call IdentifierHORIZON-CL4-2026-04Call — DIGITAL (single stage)
InstrumentHORIZON-IAInnovation Action
Budget ModelLump SumHORIZON-AG-LS
Funding Rate70%Annex G — IA = 70% (100% non-profit)
Page Limit (Part B)45 pagesIA + lump sum (Annex A)
Evaluation Thresholds3 / 3 / 3 · cum. 10Standard — Impact ×1.5 (IA)
Expected Projects1~€6M (WP stated)
DestinationAchieving open strategic autonomy in digital and emerging enabling technologiesWP Part 7
Cluster / PillarCluster 4 / Pillar IIDigital, Industry and Space
China EligibilityExcluded ▲IA excluded under this destination
Special ConditionsCopernicus/Galileo mandatory ▲Must use Copernicus and/or Galileo/EGNOS
Verify: Open this topic on the F&T Portal →  ·  Sources: General Annexes 2026-2027, WP Part 7
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Chinese entities are excluded from IA under this destination.
Copernicus/Galileo use is mandatory. Projects must make use of Copernicus and/or Galileo/EGNOS services for the digital twin applications. JRC participation is also foreseen.

Expected Outcomes

  1. Advanced local digital twins using AI are developed and demonstrated for early warning and preparedness applications, enhancing the resilience of European communities to natural and man-made disasters.
  2. AI-driven digital twin technologies leverage Copernicus and Galileo data to provide accurate, real-time situational awareness for emergency management and civil protection.

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