The Sendai Framework for Disaster Risk Reduction 2015–2030 underlines the importance of Science and Technology(S&T) and S&T networks for effective disaster risk reduction(DRR). The knowledge of existing S&...The Sendai Framework for Disaster Risk Reduction 2015–2030 underlines the importance of Science and Technology(S&T) and S&T networks for effective disaster risk reduction(DRR). The knowledge of existing S&T networks and their exact role in DRR,however, is limited. This opinion piece initiates a discussion on the role of S&T networks in the implementation of the Sendai Framework. The article highlights that current practice is oriented towards a narrative that emphasizes the potential of S&T for DRR and stresses a collaborative approach delivered through networks. But a true understanding of whether and how S&T networks can mobilize and enable S&T for DRR is missing. We call for a review of existing S&T networks for DRR and the development of good practice guidelines on S&T networks for DRR. This review should include knowledge on how to overcome common challenges and maximize the benefits, along with a framework for successful evaluation of such networks.This knowledge would provide much needed guidance for existing and emerging networks.展开更多
文摘The Sendai Framework for Disaster Risk Reduction 2015–2030 underlines the importance of Science and Technology(S&T) and S&T networks for effective disaster risk reduction(DRR). The knowledge of existing S&T networks and their exact role in DRR,however, is limited. This opinion piece initiates a discussion on the role of S&T networks in the implementation of the Sendai Framework. The article highlights that current practice is oriented towards a narrative that emphasizes the potential of S&T for DRR and stresses a collaborative approach delivered through networks. But a true understanding of whether and how S&T networks can mobilize and enable S&T for DRR is missing. We call for a review of existing S&T networks for DRR and the development of good practice guidelines on S&T networks for DRR. This review should include knowledge on how to overcome common challenges and maximize the benefits, along with a framework for successful evaluation of such networks.This knowledge would provide much needed guidance for existing and emerging networks.
