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Artificial intelligence and machine learning for multi-risk assessment

3rd International ConferenceNatural Hazards and Risks in a Changing World
Addressing Compound and Multi-Hazard Risk




9.00 am – 11.00 am


9:00 | Welcome 9:05 | Phillipp Heinrich Automated Classification of Atmospheric Circulation Types for Compound Flood Risk Assessment: CMIP6 Model Analysis Utilising a Deep Learning Ensemble9:15 | Jungching Kan Seasonal advancing heatwave prediction using machine learning approach9:25 | Ayodeji Makinde Spatial and Temporal Dynamics of Drought and Flood Events in Nigeria: A Machine Learning Approach9:35 | Jan Sodoge Assessing Groundwater Conflicts in Germany and the Effects of Droughts Using Artificial Intelligence and text-as-data9:45 | Mehdi Mikou Multi-hazard exposure of different income categories in Europe in a changing climate9:55 | Timohty Tiggeloven Exploring the World of Multi-Hazard Susceptibility Mapping With Deep Learning10:05 | Maria Katherina dal Barco A Machine Learning approach to support multi-risk assessment and climate adaptation planning in the Veneto coastal area10:15 | Marcello Sano A conceptual framework for an AI driven multi-hazard risk and resilience climate service10:25 | Saman Ghaffarian Explainable and Responsible Artificial Intelligence for Disaster Risk Management10:35 | Michele Ronco Anticipating and Understanding Humanitarian Crisis with Explainable Artificial Intelligence