Mitigating earthquake disasters involves several key elements, from hazard assessment to impacts quantification and reduction. Core components are: a) The analysis of hazards– assessing ground shaking and cascading effects on natural/built environments; b) The assessment of vulnerability and exposure to hazards, for buildings, infrastructures and people (including social vulnerability); c) Risk management – from short-term emergency response and recovery, to long-term governance and preparedness actions.
Given the complexity of earthquake related hazards and their impact on different systems, diverse seismic hazard and risk models are needed at multiple spatial and temporal scales. These rely on multi-disciplinary data, and require testing and validation of all components to ensure effective mitigation.
We therefore invite contributions on seismic risk research and assessment, covering:
- Development of physical/statistical models, including AI and machine learning for hazard, exposure and vulnerability;
- Assessment of earthquake hazard and risk across scales, as well as their validation against observations;
- Time-dependent hazard and risk assessments, including the impact of aftershocks;
- Assessment of cascading hazards (e.g. earthquake induced landslides and tsunamis) and development of multi-risk scenarios;
- Development of systems providing post-event information, such as early warning and alerts for effective emergency management;
- Social vulnerability and mitigation challenges, from assessment to governance, along with advances in communication, citizen-science and risk awareness research.
This interdisciplinary session aims to foster knowledge exchange, share best practices, highlight current gaps, and outline future research directions.