Coloniality and frictions: Data-driven humanitarianism in North-Eastern Nigeria and South Sudan

Author:

Squire Vicki1ORCID,Alozie Modesta1ORCID

Affiliation:

1. Politics and International Studies, University of Warwick, Coventry, UK

Abstract

It is now over a decade since the proclamation of a humanitarian ‘data revolution’, with the rise of ‘innovation’ and the proliferation of ‘data solutions’ rendering data-based humanitarianism an important area of critical investigation. This article contributes to debates within the field by exploring the role of data in the provision of humanitarian assistance within camps for internally displaced persons (IDPs) across north-eastern Nigeria and South Sudan. It draws on qualitative interviews carried out with humanitarian practitioners specialising in data and information management, as well as with camp residents and stakeholders located in each region. The analysis focuses attention on the ways in which epistemic injustices have been further perpetuated by the ‘data revolution’ due to the intensification of paternalistic dynamics associated with the coloniality of humanitarianism. It shows how a logic of extractivism structures the humanitarian data ecosystem, while also generating a series of tensions and disagreements. Data-driven humanitarianism, the article concludes, is characterised by recurring colonial dynamics as well as intensified frictions that bring epistemic injustices into sharper focus.

Funder

Arts and Humanities Research Council

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems and Management,Computer Science Applications,Communication,Information Systems

Reference46 articles.

1. Abimbola O, et al. (2021) Data and displacement: Collaborative research at a time of uncertainty. In: WICID Think Development Blog. Available at: https://blogs.warwick.ac.uk/po901/entry/data_and_displacement/ (accessed 15 December 2022).

2. Machine learning and phone data can improve targeting of humanitarian aid

3. Biopolitics Multiple: Migration, Extraction, Subtraction

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3