Disaster risk reduction and the limits of truisms: Improving the knowledge and practice interfaceShow others and affiliations
2022 (English)In: International Journal of Disaster Risk Reduction, E-ISSN 2212-4209, Vol. 67, article id 102661Article, review/survey (Refereed) Published
Abstract [en]
Action toward strengthened disaster risk reduction (DRR) ideally builds from evidence-based policymaking to inform decisions and priorities. This is a guiding principle for the Sendai Framework for Disaster Risk Reduction (SFDRR), which outlines priorities for action to reduce disaster risk. However, some of these practical guidelines conceal oversimplified or unsubstantiated claims and assumptions, what we refer to as 'truisms', which, if not properly addressed, may jeopardize the long-term goal to reduce disaster risks. Thus far, much DRR research has focused on ways to bridge the gap between science and practice while devoting less attention to the premises that shape the understanding of DRR issues. In this article, written in the spirit of a perspective piece on the state of the DRR field, we utilize the SFDRR as an illustrative case to identify and interrogate ten selected truisms, from across the social and natural sciences, that have been prevalent in shaping DRR research and practice. The ten truisms concern forecasting, loss, conflict, migration, the local level, collaboration, social capital, prevention, policy change, and risk awareness. We discuss central claims associated with each truism, relate those claims to insights in recent DRR scholarship, and end with suggestions for developing the field through advances in conceptualization, measurement, and causal inference.
Place, publisher, year, edition, pages
2022. Vol. 67, article id 102661
Keywords [en]
disaster risk reduction, natural hazards, science policy interface, Sendai framework for disaster risk reduction (SFDRR)
National Category
Social Sciences Interdisciplinary
Research subject
Statsvetenskap med inriktning mot krishantering och internationell samverkan
Identifiers
URN: urn:nbn:se:fhs:diva-10481DOI: 10.1016/j.ijdrr.2021.102661ISI: 000720297100004OAI: oai:DiVA.org:fhs-10481DiVA, id: diva2:1615087
2021-11-292021-11-292022-05-11Bibliographically approved