Introduction
The assessment of disaster risks requires different types of actions ranging from soft measures to technologies. Simulation-based risk and impact assessments represent an effective approach to make science understandable to decision makers and streamline national to local mitigation/adaptation actions
Scope
Specific risk assessments should be decision- or demand-driven and informed by scientific evidence, and there is a clear need to translate the results to ensure they are relevant, usable, legitimate and credible from the perspectives of the users. Co-design, co-development, co-dissemination and co-evaluation engaging the intended end users represent in this sense key features of improved risk, resilience and impact assessments
Objectives
– Innovative exposure and vulnerability analysis methods
– Maximising usability through a service-oriented approach
– Enhanced exploitation of monitoring data and satellite/remote sensing information aswell as artificial intelligence to improve high-level assessment
– Evaluation of existing disaster risk and resilience assessment and scenarios
