This session focuses on innovations in methods, tools and technologies for climate and multi-hazard risk assessment. The increasing interconnections between socio-economic, technological, and natural systems have increased risk complexity, raising the likelihood and impact of multi-hazard events, which are further amplified by climate change. This highlights the urgent need to develop and apply these innovative technologies and methodologies (such as Artificial Intelligence (AI) and Machine Learning (ML), digital twins, remote sensing, decision-support tools, early warning systems, stress testing methodologies) to effectively assess these interconnected and evolving risks. Unlike single-risk assessments, multi-risk approaches offer a holistic understanding of risk interactions and compounding effects, providing the evidence base for better-informed adaptation and management decisions.
We particularly encourage submissions of research, case studies, and practical applications that showcase how these technologies provide valuable insights into the complexities of multi-risk dynamics under a changing climate, and optimise decision-making. 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 implementation needs for real-world applications for climate and multi-hazard related risks
AI/ML and other advanced methods for projecting multi-hazard risk dynamics under climate change scenarios
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.