This short course aims to provide Early Career Scientists with the knowledge and skills on the state-of-the-art methodology for analysing multi-hazard disasters: (Enhanced) Impact Chains. Master students, PhD students, and Postdoctoral researchers with backgrounds in Natural Hazards (NH), Climate (CL), Geodynamic systems (GD), Nonlinear Processes in Geosciences (NP), Geomorphology (GM), and Hydrological Sciences (HS) are welcome to join us to advance their disaster analysis skills.
The increasingly frequent and impactful hazard events that occur simultaneously or in cascade have created a new set of challenges for communities worldwide, requiring a leap forward in both research and science communication. Therefore, the need to develop conceptual and operational frameworks capable of untangling the complex interactions among multiple hazards, their (compounded) impacts, evolving vulnerabilities, exposed elements, and mitigation measures becomes more pressing. This session addresses these needs, providing ECS training in conventional and Enhanced Impact Chains.
Impact Chains are models that were initially developed by UNDRR (2022) to analyse climate-related risks and grew to be applied for multi-hazard, cross-sectoral analyses or flood risk management. Taking the capability of these models a step further, we developed Enhanced Impact Chains as the first tools capable of tracking vulnerability dynamics across time and space in multi-hazard settings.
Leveraging the organisational, visualisation, and analytical prowess of conventional and Enhanced Impact Chains is a game changer for disaster analysis. Such tools equip scientists and practitioners with a clear framework to cut through complexity by identifying key disaster elements (hazards, impacts, vulnerabilities, exposed elements, and adaptation options) and, most importantly, mapping the connections established among them. Combining short theoretical presentations with interactive exercises and discussions, this workshop will guide participants in unlocking the full analytical potential of these essential tools.