Science and Technology Networks: A Helping Hand to Boost Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030?

Publication date

2017-03-01

Authors

Trogrlić, RobertŠakić
Cumiskey, Lydia
Triyanti, AnnisaORCID 0000-0001-5524-7551ISNI 0000000492958717
Duncan, Melanie J.
Eltinay, Nuha
Hogeboom, Rick J.
Jasuja, Mansi
Meechaiya, Chinaporn
Pickering, Christina J.
Murray, Virginia

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Document Type

Article
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Abstract

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.

Keywords

Disaster risk reduction, Networks, Science and Technology (S&T), Sendai Framework for Disaster Risk Reduction 2015–2030, Global and Planetary Change, Geography, Planning and Development, Safety Research, Management, Monitoring, Policy and Law

Citation

Trogrlić, R, Cumiskey, L, Triyanti, A, Duncan, M J, Eltinay, N, Hogeboom, R J, Jasuja, M, Meechaiya, C, Pickering, C J & Murray, V 2017, 'Science and Technology Networks : A Helping Hand to Boost Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030?', International Journal of Disaster Risk Science, vol. 8, no. 1, pp. 100-105. https://doi.org/10.1007/s13753-017-0117-x