SOURCE-LINKED INTELLIGENCE
AGnostic risk management for high Impact Low probability Events
and innovative methodologies into a novel and replicable multi-sectoral risk and resilience stress testing methodology to better: UNDERSTAND (Systems theory, Lateral thinking, Strategic Foresight, Machine Learning) ANTICIPATE (Scenario Building & table-top exercises, Multi-Criteria Decision Analysis, Machine Learning) and MANAGE (Resilience assessment, capability development strategic training) These approaches and services will be co-created within a unique transdisciplinary consortium of research organisations, NGOs, SMEs, first responders, and local and regional authorities. The scalable and replicable methods will enable for the identification of common points of failure of critical societal functions in response to compounding low probability high impact threats as well as provide recommendations for both risk-informed system hardening and threat-agnostic systemic recovery. The project will ultimately improve the strategic and operational risk management capacities and capabilities of DRM stakeholders on local, regional and national level and thus strengthening the soci
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4563406.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.