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Indicators Of Humanitarian Aid Performance Using Online Data: Case-Study Of Afghanistan In 2015

Authors: De Ford, Peter; Cuervo, Javier; Khan, Farooq; Johnson, Samuel;

Indicators Of Humanitarian Aid Performance Using Online Data: Case-Study Of Afghanistan In 2015

Abstract

The humanitarian emergencies of past years have evidenced significant lack of cooperation and coordination among aid organizations. One way to improve the situation is that the big aid organizations leading the cooperation and coordination efforts in a given country make use of open aid data available online to rapidly evaluate the performance of all aid organizations, and then use the insights obtained as a complement to create better coordination strategies and policies. The big aid organizations can evaluate the performance using indicators. This research is about proposing two indicators based on a model (built from open aid data) of humanitarian aid viewed as an economic supply-demand system. The first indicator measures how is the supply of humanitarian aid proportional to the demands, and the second measures how well are aid organizations reaching the provinces with the most deficit of humanitarian aid. Both indicators were tested in the Afghanistan 2015 humanitarian scenario. They brought to light information about which aid organizations and humanitarian areas (clusters) need greater improvement in coordination.

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Keywords

supply-demand theory, humanitarian aid, data science, indicators, online data

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selected citations
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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).
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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.
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