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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/62270 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/62270 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/62270 archive 2 disk0/00/01/32/99 2016-06-20 11:02:06 2025-03-26 05:00:13 2016-06-20 11:02:06 article show McCallum I. 1731 0000-0002-5812-9988 Liu W. 2002 0000-0003-3646-3456 See L. 8571 0000-0002-2665-7065 Mechler R. 7793 0000-0003-2239-1578 Keating A. 2024 Hochrainer-Stigler S. 7958 0000-0002-9929-8171 Mochizuki J. 2027 0000-0003-1000-4251 Fritz S. 8130 0000-0003-0420-8549 Dugar S. Arestegui M. Szoenyi M. Laso Bayas J.C. 2106 0000-0003-2844-3842 Burek P. 2091 0000-0001-6390-8487 French A. 1202 Moorthy I. 2089 0000-0002-3664-3855 pub prog_esm prog_risk prog_wat prog_rpv Crowdsourcing, Disaster risk reduction, Flood resilience, Social media, Volunteered geographic information (VGI) Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge. 2016-06-17 published Springer 10.1007/s13753-016-0086-5 202 183 276 204 147 126 209 98 172 46 96 211 public International Journal of Disaster Risk Science 7 2 198-204 TRUE 2095-0055 FALSE no info:eu-repo/semantics/article