Learning from the past
Understanding the dynamic and interactive conditions of risk
This objective is addressed by Work Package 1, which is led by EURAC and runs from October 2022 to September 2025.
The objective is to utilise information from already existing learning case studies and combine this information with disaster history in application case studies. Satellite remote sensing data and artificial intelligence will be exploited for providing risk components for systemic risk assessment.
The work package is divided in the following tasks:
Guidelines for improving historical disaster databases to include multi-hazard impact chain.
Standardized participatory methodology and a toolbox for co-developing impact chains. Methods and tools for characterizing impact chains and systemic risk, including cascades and compound events, for different environments, hazard interactions, and sectors.
Improved historical datasets from remote sensing time series analysis, crowd sourcing and Artificial Intelligence on hazard events and exposure datasets.