UNISDR SCIENCE AND TECHNOLOGY CONFERENCE ON THE IMPLEMENTATION OF THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION 2015-2030

LAUNCHING UNISDR SCIENCE AND TECHNOLOGY PARTNERSHIP AND THE SCIENCE AND TECHNOLOGY ROAD MAP TO 2030

27-29 January 2016 - Geneva International Conference Centre, Geneva, Switzerland

Tangible earth | Shinichi Takemura | TEDxKids@Chiyoda

By: UNISDR

25 November 2015, GENEVA – On behalf of the United Nations Office for Disaster Risk Reduction (UNISDR) we are pleased to invited you to promote and support the availability and application of science and technology for decision-making in Disaster Risk Reduction by attending this important international event on science and technology.

The conference aims to bring together the full diversity of the science and technology community, policy makers, practitioners and researchers from all geographical regions, at local, national, regional and international levels to discuss how the science and technology community will best support the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030.

The UNISDR Science and Technology Conference on the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030 will promote and support the availability and application of science and technology to decision-making in Disaster Risk Reduction.

The conference will launch the UNISDR Science and Technology Partnership for the implementation of the Sendai Framework and discuss and endorse the UNISDR Science and Technology (S&T) road map.

The S&T roadmap will define the expected outcomes of the science and technology work under each of the four Sendai Framework priority areas of actions and the ways to monitor progress and needs.

Web link for the Conference
http://www.unisdr.org/partners/academia-research/conference/2016/ 


Registration now open

http://www.unisdr.org/partners/academia-research/conference/2016/register/form/register


Concept Note http://www.preventionweb.net/files/45270_150813conceptnoteunisdrstconference.pdf





 

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