The 7th International Conference on Building Resilience, with the theme 'Using scientific knowledge to inform policy and practice in disaster risk reduction', is jointly organised by the Global Disaster Resilience Centre at the University of Huddersfield in the United Kingdom, and Chiang Mai University, Naresuan University and the Asian Disaster Preparedness Center in Thailand. The event will be held in Bangkok, Thailand, on 27-29 November 2017.

Reducing disaster risk is an issue cutting across different sectors, which requires trans-disciplinary and trans-boundary approaches with the support of the natural and social sciences, including for natural hazards and applied fields such as health, agriculture, economics, environment, engineering and technology. Science can and should play an important role in reducing risk and building the resilience of nations and communities to disasters. 

The Sendai Framework for Disaster Risk Reduction charts the global course over the next 15 years. During the consultations and negotiations that led to its finalization, strong calls were made to develop practical, evidence based guidance to support implementation, ensure engagement and ownership of action by all stakeholders, and strengthen accountability in disaster risk reduction. 

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

The conference will also consider ways to support integration of Sendai with the Paris Agreement of the United Nations Framework Convention on Climate Change (UNFCCC), and the 2030 Agenda for Sustainable Development (Sustainable Development Goals). 

Please go to this link about the conference.

0 comment(s)

Please Register or Login as ACCCRN member first to write comment