Big Data as Governmentality

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Big Data as Governmentality

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Titel: Big Data as Governmentality
How Large-Scale Data Reshapes International Development
Forfatter: Flyverbom, Mikkel; Madsen, Anders Koed; Rasche, Andreas
Resume: This paper conceptualizes how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. The concept of governmentality and four dimensions of an analytics of government are proposed as a theoretical framework to examine how big data is constituted as an aspiration to improve the data and knowledge underpinning development efforts. Based on this framework, we argue that big data’s impact on how relevant problems are governed is enabled by (1) new techniques of visualizing development issues, (2) linking aspects of the international development agenda to algorithms that synthesize large-scale data, (3) novel ways of rationalizing knowledge claims that underlie development policies, and (4) shifts in professional and organizational identities of those concerned with producing and processing data for development. Our discussion shows that big data problematizes selected aspects of traditional ways to collect and analyze data for development (e.g. via household surveys). We also demonstrate that using big data analyses to address development challenges raises a number of questions that can deteriorate its impact.
URI: http://hdl.handle.net/10398/9048
Dato: 2014-12-09
Note: Paper presented at the 55th Annual Meeting of the International Studies Association (ISA):Spaces and Places: Geopolitics in an Era of Globalization. March 26-29 2014, Toronto, Canada

Creative Commons License This work is licensed under a Creative Commons License.

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