Data infrastructure studies on an unequal planet

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
P. Brodie
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引用次数: 0

Abstract

In this article, I take the case of data centers as a powerful tool and infrastructure of multinational digital capitalism, analyzing the ways in which understanding these and other data infrastructures through their energy frameworks allows us to theorize the implications of planetary environmental impacts of digital data for contemporary subjects beyond individual data technologies themselves. This is especially true in data centers’ function as energy vacuums and in their carbon and extractive footprints and other environmental externalities. I demonstrate that data centers organize an assemblage of environmental relations whose operations reproduce uneven systems of capitalism enacted through energy and environmental politics. While this article is by no means comprehensive, and by necessity must be selective in its engagement with key texts in a number of overlapping fields, it broadly draws from media studies, geographical, and sociological approaches to data infrastructures to unravel the entanglements of digital systems and the environment. Data centers and their energy connections represent multivalent sites and indications into the global supply chain of data infrastructure, and their extractive dynamic as networked infrastructure fundamentally changes how we need to see their impacts and the impacts of datafication more broadly.
不平等星球上的数据基础设施研究
在本文中,我以数据中心作为跨国数字资本主义的强大工具和基础设施为例,分析了通过其能源框架理解这些和其他数据基础设施的方式,使我们能够将数字数据对当代主题的地球环境影响的影响理论化,而不仅仅是单个数据技术本身。在数据中心作为能源真空的功能、碳排放和提取足迹以及其他环境外部性方面尤其如此。我证明,数据中心组织了一系列环境关系,这些关系的运作再现了通过能源和环境政治制定的资本主义不平衡系统。虽然这篇文章绝不是全面的,而且必须有选择性地与一些重叠领域的关键文本进行接触,但它广泛地借鉴了媒体研究、地理和社会学方法来研究数据基础设施,以解开数字系统和环境的纠缠。数据中心及其能源连接代表了数据基础设施全球供应链的多价值站点和指示,它们作为网络基础设施的提取动态从根本上改变了我们如何看待它们的影响以及更广泛的数据化影响。
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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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