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 simultaneously develop innovative technologies and methodologies (such as Artificial Intelligence (AI) and Machine Learning (ML) digital twins, remote sensing, decision-support tools, early warning systems) to effectively assess and manage these interconnected risks. Unlike single-risk assessments, multi-risk approaches offer a holistic understanding of risk interactions and compounding effects for better adaptation planning.
This session provides a platform to demonstrate the latest technological advancements and innovations in multi-hazard risk assessment across various sectors and regions. It will feature presentations and discussions highlighting the implementation of cutting-edge technologies into useful applications to advance systemic disaster risk management and climate adaptation planning and ultimately contributing to Sustainable Development goals.
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, optimise decision-making, and enhance resilience-building efforts.We also welcome critical discussions of implementation challenges, barriers, and lessons learned from both successful and unsuccessful deployment experiences.
Potential research topics include, but are not limited to:
- Examples of collaborative research efforts addressing stakeholder needs for multi-hazard tools and approaches
- AI/ML applications and digital twins for multi-hazard, multi-sector risk management
- Novel data collection technologies including LLMs, remote sensing for vulnerability and exposure mapping, and forensic assessment of past multi-risk events
- Resilience stress-testing for multi-hazard and high-impact low-probability events
- Innovative approaches in communications, knowledge-sharing, and capacity building across multi-hazard risk assessments and early warning systems
- Best practices for transferring innovations across different contexts and hazards
- 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
Michele Ronco