Session NH10.6

[Programme]

NH10.6 | Tools and challenges in assessing compounding and multi-hazard risk in the evolving technological landscape

Tools and challenges in assessing compounding and multi-hazard risk in the evolving technological landscape

Convener: Funda Atun | Co-conveners: Silvia Torresan, Saman GhaffarianECSECS, Cees van Westen, Michele Calvello, Marleen de RuiterECSECS, Ivan Van BeverECSECS

Orals

| Fri, 19 Apr, 10:45–12:30 (CEST)

Room 0.15

Posters on site

| Attendance Fri, 19 Apr, 16:15–18:00 (CEST) | Display Fri, 19 Apr, 14:00–18:00

Hall X4

Posters virtual

| Attendance Fri, 19 Apr, 14:00–15:45 (CEST) | Display Fri, 19 Apr, 08:30–18:00

vHall X4

The use of technology can affect the impact of multi-hazards both positively and negatively. This session addresses how technology could play a role in assessing multi-hazard risk and analysing risk changes across space and time, and how innovative tools can support the development of risk mitigation strategies. We will discuss the needs and ways to develop tools that enable systemic risk assessment across sectors and geographical settings. A range of tools are already used to assess individual hazards or possible climate adaptation scenarios, but a tool that enables a combined assessment of them all does not yet exist.
We consider three main standpoints that could enhance the tools in the constantly evolving technological landscape. First, climate scenarios need to be combined with land use and socio-demographic and economic trends that will impact exposure and vulnerability. Second, the timeframe of decision support tools should move from short to long-term by including long-term dynamic scenarios. Third, co-development needs to be considered as a new way to overcome uncertainties to involve various perspectives.
Keeping in mind these three standpoints, we would like to invite contributions that present:
• Tools that support the preparedness of first and second responders in the face of multi-hazard events and reduce the risks related to impacts on various sectors;
• Open-source software for multi-hazard/risk scenario generation, policy recommendations to enable decision-makers and practitioners to adopt a new approach;
• Applications of cutting-edge artificial intelligence (AI) and Machine Learning (ML) tools in the context of climate change, multi-hazard and multi-sector risk and resilience analytics.
• Decision-support systems (DSS) for disaster risk management considering multiple interacting natural hazards and cascading impacts that accounts for forecasted modifications in the hazard (e.g., climate change), vulnerability/resilience (e.g., aging structures and populations) and exposure (e.g., population decrease/increase);
• Multi-disciplinary best practices that focus on the transferability of the developed innovations to different territorial contexts and hazards;
• Novel risk assessment methods that are co-developed by various stakeholders for multi-hazard, multi-sector, and systemic risk management;
• Innovative tools to communicate risks to facilitate deeper learning in complex contexts and enable participants to learn, i.e. serious games.