Global losses due to natural hazards have shown an increasing trend over the last decades, which is expected to continue due to growing exposure in disaster-prone areas and the effects of climate change. In response, recent years have seen greater worldwide commitment to reducing disaster risk. Working towards this end requires the implementation of increasingly effective disaster risk management (DRM) strategies. These must necessarily be supported by reliable estimates of risk and loss before, during, and after a disaster. In this context, innovation plays a key role.
This session aims to provide a forum to the scientific, public and private discourse on the challenges to innovate DRM. We welcome submissions on the development and application of groundbreaking technologies, big data, and innovative modeling and visualization approaches for disaster risk assessment and DRM decision-making. This includes the quantification and mapping of natural hazard risks and their components (i.e. hazard, exposure, and vulnerability), as well as the forecasting of hazard and impacts prior to a disaster event, or as it is unfolding (in real- or near real-time). 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, social media, volunteered geographic information (VGI), mobile applications, crowdsourcing, internet of things (IoT), and blockchain. We also welcome submissions exploring how these or other innovations can support real-world DRM strategies and translate into improved DRM decisions.

Co-organized as ESSI1.15/GI2.14
Convener: Rui Figueiredo | Co-conveners: Kai Schröter, Mario Lloyd Virgilio Martina, Carmine Galasso, Judith Cerdà Belmonte, Elise Monsieurs, Liesbet Jacobs
| Tue, 09 Apr, 08:30–10:15
Room M1
| Attendance Tue, 09 Apr, 16:15–18:00
Hall X3

Attendance time: Tuesday, 9 April 2019, 16:15–18:00 | Hall X3

Chairperson: Mario L.V. Martina
X3.93 |
A mobile application for multi-hazard physical vulnerability prioritization of schools in developing countries
Carmine Galasso and Arash Nassirpour
X3.94 |
Hofit Shachaf and Colin Price
X3.95 |
Weijun Ma, Deqin Liu, Hongliang Guan, and Yuqun Li
X3.97 |
| presentation
Elio Decolli, Kejdi Lleshi, Elva Leka, and Luan Arapi
X3.98 |
Isak Buhl-Mortensen, Thomas N. Nipen, Ivar A. Seierstad, and Cristian Lussana
X3.99 |
Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, and Peter Salamon
X3.100 |
| presentation
Jens Kersten, Anna Kruspe, and Friederike Klan
X3.101 |
chen zhong, Faith Taylor, James Millington, and Bruce D. Malamud
X3.102 |
Giuseppe Esposito, Ivan Marchesini, Alessandro Mondini, Mauro Rossi, Paola Reichenbach, and Paola Salvati
X3.103 |
Adriaan van Natijne, Roderik Lindenbergh, Thom Bogaard, Martin Rutzinger, and Thomas Zieher
X3.104 |
Kai Schröter, Nivedita Sairam, Max Steinhausen, Stefan Lüdtke, Viktor Rözer, and Heidi Kreibich
X3.105 |
| Highlight
Sebastian Scheuer, Thilo Wellmann, Dagmar Haase, Manuel Wolff, and Annegret Haase
X3.107 |
Mario L.V. Martina, Rui Figueiredo, David B. Stephenson, and Benjamin D. Youngman