Tender Match
EU · in EnglishHORIZON-CL3-2026-01-DRS-02

Multi-hazard approach and cumulative / cascading impacts

Expected Outcome: Project results are expected to contribute to some or all of the following expected outcomes: Integrated single-hazard systems into multi-hazard next generation predictive models to assess cascading effects (e.g., heatwave, floods, droughts, landslides, heavy rain) and interactions across meteorological, geophysical, and technological hazards; Enhanced hazard forecasting and resp

The official English text of the call comes from the European Commission's Funding & Tenders portal.

Deadline

5 November 2026 12 days left

Grant per project

4 million EURTotal budget: 8 million EUR · about 2 funded projects

Region

International (EU)

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Eligibility criteria

EU direct call: eligibility depends mainly on the consortium, the participants' countries and their types of organisation. We cannot check these from your company details, so we do not tell you whether you are eligible. The criteria are in the official call.

Official call

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What is this call about?

Ez az uniós kutatási pályázat többveszélyforrás-alapú katasztrófa-elhárítás fejlesztésére irányul. A támogatás olyan integrált előrejelzési modellek és kockázatértékelési rendszerek létrehozására fordítható, amelyek egyszerre kezelik az időjárási, geofizikai és technológiai veszélyeket, valamint azok láncolódó hatásait. A pályázat kutatóintézmények, vállalkozások és katasztrófavédelmi szervezetek konzorciumainak szól, amelyek mesterséges intelligenciát, valós idejű adatokat és szimulációkat alkalmazva javítják a korai figyelmeztetést, a válságkezelést és az infrastruktúra-rezilienciát.

Official description

Expected outcome and scope

Expected Outcome: Project results are expected to contribute to some or all of the following expected outcomes: Integrated single-hazard systems into multi-hazard next generation predictive models to assess cascading effects (e.g., heatwave, floods, droughts, landslides, heavy rain) and interactions across meteorological, geophysical, and technological hazards; Enhanced hazard forecasting and response through research on model integration and platform interoperability; Development of holistic risk and resilience metrics to support multi-hazard prevention strategies, encompassing main physical, economic and social effects; Improvement of analysis models considering evolving vulnerability state, due to cascading and cumulative effects, through numerical simulations and experimental tests, possibly also supported by AI applications; Collected reliable data (same granularity and format) and ways to share and analyse it.

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