Please use this identifier to cite or link to this item:
Title: Big data and humanitarian supply networks: Can Big Data give voice to the voiceless?
Authors: Monaghan, A
Lycett, M
Keywords: Big Data;Emergency management;Open loop systems;Supply chains
Issue Date: 2013
Publisher: IEEE
Citation: Proceedings of the 3rd IEEE Global Humanitarian Technology Conference (GHTC), San Jose, California, 432 - 437, 2013
Abstract: Billions of US dollars are spent each year in emergency aid to save lives and alleviate the suffering of those affected by disaster. This aid flows through a humanitarian system that consists of governments, different United Nations agencies, the Red Cross movement and myriad non-governmental organizations (NGOs). As scarcer resources, financial crisis and economic inter-dependencies continue to constrain humanitarian relief there is an increasing focus from donors and governments to assess the impact of humanitarian supply networks. Using commercial (`for-profit') supply networks as a benchmark; this paper exposes the counter-intuitive competition dynamic of humanitarian supply networks, which results in an open-loop system unable to calibrate supply with actual need and impact. In that light, the phenomenon of Big Data in the humanitarian field is discussed and an agenda for the `datafication' of the supply network set out as a means of closing the loop between supply, need and impact.
Description: This is the author's accepted manuscript. The final published article is available from the link below. Copyright © 2013 IEEE.
ISBN: 978-1-4799-2401-1
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf608.18 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.