PA41B-2174
Mobilizing Science, Evidence and Technology for the Sendai Framework

Thursday, 17 December 2015
Poster Hall (Moscone South)
Julie Ann Calkins, University of Leeds, School of Earth and Environment, Leeds, United Kingdom; UK Collaborative for Development Science, London, United Kingdom
Abstract:
In March 2015, UN member states adopted the Sendai Framework for Disaster Risk Reduction: 2015-2030. The Sendai Framework recognises the cross-cutting nature of DRR policy and calls on a range of stakeholders to help governments. The Sendai Framework sets the aim of achieving “the substantial reduction of disaster risk and losses in lives, livelihoods and health and in the economic, physical, social, cultural and environmental assets of persons, businesses, communities and countries” (para 16). The international science community is acknowledged as a key stakeholder in supporting countries to implement the Sendai Framework. With this call to action and the gravity of disaster risk escalating around the globe, it is now vital that scientific knowledge and research resources are shared and become accessible in a form that can directly support coordinated application.

Recent work is presented on the DRR gaps voiced by governments and scientists across a range of science and technology related needs, including through the drafting process for the Sendai Framework. Across regions and development levels, countries are seeking to address specific gaps they face in scientific capacities and information.

Considering the many existing programmes, research initiatives and resources already seeking to generate evidence on DRR at all scales, how can science and technology improve delivery? Models and case studies prompt a useful discussion on what does and does not work. We provide an example of recent work in the UK disasters research community to assess scientific and technical capacity and collaborative effort to fulfil the commitment of the Sendai Framework. While there is no one-size-fits-all, any implementation approach needs to take into account the extraordinary, dynamic and localised nature of disasters and needs to be able to deliver relevant information to decision-makers at national and local levels, in a timely manner.