The Sendai Framework for Disaster Risk Reduction 2015–2030 established “Investing in Disaster Risk Reduction for Resilience” as Priority Action 3 with 17 actions in national and local levels and 9 actions in global and regional levels. So far, however, the budgets for disaster risk reduction are mainly used for post-disaster emergency response, recovery, and reconstruction in many countries. In the working sessions of Priority Action 3 of the Global Forum on Science and Technology for Disaster Resilience 2017, we discussed the actions that should be taken by the science, technology, and education sectors for an increase in proactive disaster risk reduction investment. This paper highlights the working group discussion, particularly focusing on the roles of science, technology, and education. Seven recommendations for promoting the implementation of the Priority Action 3 were adopted by the Forum as the final output from the working sessions of Priority Action 3.

1. [1] S. Hallegatte et al., “Future flood losses in major coastal cities,” Nature Climate Change, Vol.3, No.9, p. 802, 2013.
2. [2] P. Y. Chen, C. C. Chen, L. Chu, and B. McCarl, “Evaluating the economic damage of climate change on global coral reefs,” Global Environmental Change, Vol.30, pp. 12-20, 2015.
3. [3] M. Pelling and S. Blackburn (eds.), “Megacities and the coast: risk, resilience and transformation,” Routledge, 2014.
4. [4] D. K. Kellenberg and A. M. Mobarak, “Does rising income increase or decrease damage risk from natural disasters?,” J. of Urban Economics, Vol.63, No.3, pp. 788-802, 2008.
5. [5] M. D. Silva and A. Kawasaki, “Socioeconomic vulnerability to disaster risk: A case study of flood and drought impact in a rural Sri Lankan community,” Ecological Economics, Vol.152, pp. 131-140, 2018.
6. [6] Z. D. Tessler et al., “Profiling risk and sustainability in coastal deltas of the world,” Science, Vol.349, Issue 6248, pp. 638-643, 2015.
7. [7] Y. Tahira and A. Kawasaki, “The impact of the Thai Flood of 2011 on the rural poor population living on the flood plain,” J. Disaster Res., Vol.12, No.1, pp. 147-157, 2017.
8. [8] J. P. Syvitski et al., “Sinking deltas due to human activities,” Nature Geoscience, Vol.2, No.10, p. 681, 2009.
9. [9] A. Morita, “Infrastructuring amphibious space: the interplay of aquatic and terrestrial infrastructures in the 406 Chao Phraya Delta in Thailand,” Science as Culture, Vol.25, No.1, pp. 117-140, 2016.
10. [10] A. M. Owrangi, R. Lannigan, and S. P. Simonovic, “Mapping climate change-caused health risk for integrated city resilience modeling,” Natural Hazards, Vol.77, No.1, pp. 67-88, 2015.
11. [11] H. Takagi, N. D. Thao, and L. T. Anh, ”Sea-level rise and land subsidence: Impacts on flood projections for the Mekong delta’s largest city,” Sustainability, Vol.8, No.9, pp. 959, 2016.
12. [12] A. Aitsi-Selmi et al., “Reflections on a science and technology agenda for 21st century disaster risk reduction. Based on the scientific content of the 2016 UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030,” Int. J. of Disaster Risk Science, Vol.7, No.1, pp. 1-29, 2016.
13. [13] S. Hsiang et al., “Estimating economic damage from climate change in the United States,” Science, Vol.356, Issue 6345, pp. 1362-1369, 2017.
14. [14] H. T. L. Huong and A. Pathirana, “Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam,” Hydrology and Earth System Sciences, Vol.17, No.1, pp. 379-394, 2013.
15. [15] UNISDR (United Nations Office for Disaster Risk Reduction), “Sendai Framework for Disaster Risk Reduction 2015-2013,” United Nations, 2015, https://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf [accessed November 15, 2018]
16. [16] Science Council of Japan, Global Forum on Science and Technology for Disaster Resilience 2017, http://wci.t.u-tokyo.ac.jp/ResilienceForum2017/ [accessed November 15, 2018]
17. [17] K. Takeya, “JICA’s Support for Target(e), “Local DRR Strategy” for future Investment,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
18. [18] W. J. Ammann, “SFDRR Priority 3: Investing in Disaster Risk Reduction for Resilience,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
19. [19] W. Erian, “SDG – Climate Nexus Facility Building Resilience in Arab Region,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
20. [20] M. Hernandez, “An example Science + Technology supporting policy,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
21. [21] Y. Amano, “Promote public investment in DRR,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
22. [22] H. Tatano, “Investing in DRR for Resilience,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
23. [23] F. Thomalla, “Investing in DRR for Resilience: Promoting equitable and resilient development,” Global Forum on Science and Technology for Disaster Resilience 2017, Tokyo, Japan, 2017.
24. [24] S. L. Cutter, B. J. Boruff, and W. L. Shirley, “Social Vulnerability to Environmental Hazards,” Social Science Quarterly, Vol.84, No.2, pp. 242-261, 2003.
25. [25] J. Demetriades and E. Esplen, “The Gender Dimensions of Poverty and Climate Change Adaptation,” IDS Bulletin, Vol.39, No.4, pp. 24-31, 2009.
26. [26] S. Dercon and L. Christiaensen, “Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia,” J. of Development Economics, Vol.96, No.2, pp. 159-173, 2011.
27. [27] M. Pelling, “Assessing urban vulnerability and social adaptation to risk: Evidence from Santo Domingo,” Int. Development Planning Review, Vol.24, No.1, pp. 59-76, 2002.
28. [28] A. Kawasaki, M. Henry, and K. Meguro, “Media preference, information needs, and the language proficiency of foreigners in Japan after the 2011 Great East Japan Earthquake,” Int. J. of Disaster Risk Science, Vol.9, No.1, pp. 1-15, 2018.
29. [29] M. Henry et al., “The impact of income disparity on vulnerability and information collection: an analysis of the 2011 Thai flood,” J. of Flood Risk Management, Vol.10, No.3, 2017.
30. [30] S. H. M. Fakhruddin, A. Kawasaki, and M. S. Babel, “Community responses to flood early warning system: case study in Kaijuri Union, Bangladesh,” Int. J. of Disaster Risk Reduction, Vol.14, No.4, pp. 323-331, 2015.
31. [31] K. A. Lachlan, P. R. Spence, and C. A. Eith, “Access to mediated emergency messages: Differences in crisis knowledge across age, race, and socioeconomic status,” R. Swan and K. Bates (eds.), In Through the eye of Katrina: Social Justice in the United States, 2nd edition, pp. 205-222, Carolina Academic Press, 2010.
32. [32] P. R. Spence et al., “Media use and information needs of the disabled during a natural disaster,” J. of Health Care for the Poor and Underserved, Vol.18, No.2, pp. 394-404, 2007.
33. [33] Periperi U and the Science, Technology and Academic Community, “Africa-Arab Regional Platform on Disaster Risk Reduction: Statement from the Scientific, Technology and Academic Community,” http://www.riskreductionafrica.org/news/africa-arab-regional-platform-on-disaster-risk-reduction-statement-from-the-scientific-technology-and-academic-community.html [accessed November 15, 2018]