02461nam a22003257c 4500 00004938 ES-MaONT 20211006062602.0 190315t2019 d|||frt|||i001 0 eng d CDO Disruptive technologies and their use in disaster risk reduction and management Geneva ITU 2019 46 p. il., tab. texto (visual) isbdcontent electrónico isbdmedia recurso en línea cr rdacarrier This docume​nt ​discusses the use and opportunities of ICTs and disruptive technologies for disaster risk reduction and management. It responds to requests from ITU Member States to identify relevant technologies and facilitate the sharing of best practices.​​​​​The document finds that technological advance­ment and innovation are creating new opportunities for enhancing disaster resiliency and risk reduction. Developments in disruptive technologies – such as artificial intelligence (AI), the Internet of Things (IoT) and Big Data – and innovations in such areas as robotics and drone technology are transforming many fields, including disaster risk reduction and management. The rapid spread of supporting digital infrastructure and devices, especially wireless broadband networks, smartphones and cloud computing, has created the foundation for the application of disruptive technologies for disaster management. Disruptive technologies can spread critical information more quickly, improve understanding of the causes of disasters, enhance early warning systems, assess damage in new ways and add to the knowledge base of the social behaviours and economic impacts after a crisis strikes. Situational awareness is improving with new tools providing the crisis community with a clearer understanding of the extent of damage and where to prioritize resources. Tecnologías habilitadoras digitales 18 Artificial intelligence Big Data Disaster risk reduction Disruptive technologies Internet of Things Risk reduction Minges, Michael 2701 Unión Internacional de Telecomunicaciones 1433 https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf 0 Acceso a la publicación INF 4938 4938 0 0 Informe 0 3 1 5687 01 01 online 2019-03-15 0 1000020175320 2019-03-15 00:00:00 2019-03-15 INF pdf