This session aims to provide a forum for discourse across scientific, public and private domains on the challenges to improve DRM and DRF through innovation. We welcome submissions on the development and application of innovative modelling approaches and groundbreaking technologies advancing disaster risk assessment, DRM and decision-making under uncertainty. This includes the quantification and mapping of natural hazard risks and their components (i.e. hazard, exposure, and vulnerability), the forecasting of hazard and impacts prior to a disaster event or as it is unfolding (in real- or near real-time), and the development of innovative risk transfer and DRF solutions. We are particularly interested in contributions covering one or more of the following thematic areas in the context of disaster risk assessment and reduction: artificial intelligence and machine learning, big data, remote sensing and earth observation, social media, volunteered geographic information (VGI), mobile applications, crowdsourcing, internet of things (IoT), digital twins, blockchain, and parametric insurance. We also welcome submissions exploring how these or other innovations can support real-world DRM/DRF strategies and translate into improved DRM decisions.
This session aims to provide a forum for discourse across scientific, public and private domains on the challenges to improve DRM and DRF through innovation. We welcome submissions on the development and application of innovative modelling approaches and groundbreaking technologies advancing disaster risk assessment, DRM and decision-making under uncertainty. This includes the quantification and mapping of natural hazard risks and their components (i.e. hazard, exposure, and vulnerability), the forecasting of hazard and impacts prior to a disaster event or as it is unfolding (in real- or near real-time), and the development of innovative risk transfer and DRF solutions. We are particularly interested in contributions covering one or more of the following thematic areas in the context of disaster risk assessment and reduction: artificial intelligence and machine learning, big data, remote sensing and earth observation, social media, volunteered geographic information (VGI), mobile applications, crowdsourcing, internet of things (IoT), digital twins, blockchain, and parametric insurance. We also welcome submissions exploring how these or other innovations can support real-world DRM/DRF strategies and translate into improved DRM decisions.