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Disaster-affected Populations and “Localization”: What Role for Anthropology Following the World Humanitarian Summit?

Authors: Raymond Apthorpe; John Borton;

Disaster-affected Populations and “Localization”: What Role for Anthropology Following the World Humanitarian Summit?

Abstract

The international humanitarian sector has long been criticized for relying on standardized responses that make little, if any, adjustment to social and cultural differences between different disaster contexts and disaster-affected populations. Responding to such criticisms, the 2016 World Humanitarian Summit set an ambitious target for “localizing” international humanitarian funding flows so that a quarter would be provided by local and national responders. But what precisely “local” might mean was little theorized, and what humanitarian agencies themselves could learn to improve their own aid-effectiveness from the disaster-affected populations’ own responses to severe stress was not prioritized. This article identifies some of the challenges the new funding regime needs to address for it to have the best chances of meeting its stated objectives, and it explores what role anthropology could play in researching such issues in an action-investigation frame. It concludes with some reflections about effective public anthropology in that conducive frame.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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