{"title":"Coloniality and frictions: Data-driven humanitarianism in North-Eastern Nigeria and South Sudan","authors":"V. Squire, ModestaTochi Alozie","doi":"10.1177/20539517231163171","DOIUrl":null,"url":null,"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":" ","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data & Society","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/20539517231163171","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
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.