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 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. The interoperability of all kinds of systems and information sharing is crucial, based on the need-to-know principle; Improved knowledge/experience-sharing from past emergencies to cope with future emergencies, also strengthening trans-national knowledge and data exchan