The increasing interconnections between socio-economic, technological, and natural systems have amplified risk complexity, raising the likelihood and impact of multi-hazard events. This highlights the urgent need to understand complex risk dynamics and develop effective adaptation strategies. Unlike single-risk assessments, multi-risk approaches offer a holistic understanding of risk interactions and compounding effects for better adaptation planning.
Emerging technologies such as artificial intelligence, digital twins, remote sensing, decision-support tools, and early warning systems are transforming systemic risk assessment and management. They offer new ways to understand multi-risk dynamics and enhance disaster risk management and climate adaptation strategies.
This session provides a platform to explore the latest technological advancements and innovations in systemic risk assessment across various sectors and regions. It will feature presentations and discussions highlighting the role of cutting-edge technologies in advancing systemic disaster risk management and climate adaptation planning.
We particularly encourage submissions of research, case studies, and practical applications that showcase how these technologies can provide valuable insights into the complexities of multi-risk dynamics, optimize decision-making, and enhance resilience-building efforts.
Potential research topics include, but are not limited to:
- Multi-Hazard Early Warning System and Impact-Based Multi-Hazard Forecasting, providing timely alerts for potential compounding hazards and risks.
- Decision-support tools, open source software and novel risk assessment methods co-developed with stakeholders to enhance the preparedness of first responders and decision-makers to multi-risk.
- Cutting-edge Artificial Intelligence and Machine Learning tools for multi-hazard, multi-sector risk and systemic risk management.
- Novel technologies for data collection and generation, including Large Language Models and remote sensing.
- Application of network science and digital twin technologies to model systems holistically, accounting for cascading and compounding dynamics.
- Innovative approaches in communications, knowledge-sharing and capacity building in multi-hazard risk assessment.
- Best practices enabling the transferability of the developed innovations to different territorial contexts and hazards (knowledge transfer).