Elsevier, Progress in Disaster Science, Volume 1, May 2019
The UN has adopted the Sendai Framework for Disaster Risk Reduction (2015–2030; SFDRR) in March 2015 and the member countries agreed to shift from disaster management to disaster risk management. The SFDRR is in line with the UN Sustainable Development Goals (SDGs; September 2015). In 2016, the UNISDR together with partner organizations has prepared roadmap for mainstreaming Science and Technology in SFDRR. Out of four priority areas, this paper focuses on the appraisal of challenges in SFDRR priority 1 “understanding disaster risk” through the lens of science, technology and innovations. The analysis revealed that various dimensions of multi-hazards, spatial extent of exposure and risk knowledge calls for application of remotely sensed data, real-time digital data, evidence-based digital cum social data and the application of Geo-information tools and techniques be infused in understanding disaster risk. Analysis further revealed that there is need of high-resolution spatial data and advanced computer based packages to make available it free of cost for researchers, include Disaster Risk Reduction (DRR) experts in policy making, integrate knowledge management for DRR, increase investment in R&D and capacity building to reduce the disaster risk. In short, policies and practices for disaster risk management should be based on an understanding of disaster risk in all its dimensions of vulnerability, coping capacity, exposure, nature of hazard and environmental settings.
Capacity Building; Disaster Management; Disaster Risk; Gaps And Challenges; Honshu; Innovation; Integrated Approach; Japan; Miyagi; Policy Making; Prioritization; Real Time; Risk Assessment; Science & Technology; Sendai; Sendai Framework; Spatial Resolution; Sustainable Development; Technological Development; Tohoku; United Nations; Global