殖民和摩擦:尼日利亚东北部和南苏丹数据驱动的人道主义

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
V. Squire, ModestaTochi Alozie
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引用次数: 0

摘要

自宣布人道主义“数据革命”以来,已经过去了十多年,随着“创新”的兴起和“数据解决方案”的激增,基于数据的人道主义成为重要的批判性调查领域。本文通过探讨数据在尼日利亚东北部和南苏丹境内流离失所者营地提供人道主义援助中的作用,为该领域的辩论做出了贡献。它采用了与专门从事数据和信息管理的人道主义从业人员以及位于每个地区的营地居民和利益攸关方进行的定性访谈。分析的重点是,由于与人道主义殖民主义相关的家长式动力的加剧,“数据革命”进一步延续了认识上的不公正。它展示了提取主义的逻辑如何构建人道主义数据生态系统,同时也产生了一系列紧张和分歧。文章总结道,数据驱动的人道主义的特点是反复出现的殖民动态,以及加剧的摩擦,这些摩擦使认识上的不公正更加突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coloniality and frictions: Data-driven humanitarianism in North-Eastern Nigeria and South Sudan
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.
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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