Big Data as Governmentality: Digital Traces, Algorithms, and the Reconfiguration of Data in International Development

Mikkel Flyverbom, Anders Klinkby Madsen, Andreas Rasche

    Research output: Working paperResearch

    Abstract

    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 international development agendas to algorithms that synthesize large-scale data, (3) novel ways of rationalizing knowledge claims that underlie development efforts, 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.
    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 international development agendas to algorithms that synthesize large-scale data, (3) novel ways of rationalizing knowledge claims that underlie development efforts, 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.
    LanguageEnglish
    Place of PublicationSt. Gallen
    PublisherHumanistic Management Network
    Number of pages42
    DOIs
    StatePublished - 2015
    SeriesResearch Paper Series / Humanistic Management Network
    Number42/15

    Keywords

    • Big data
    • International development
    • Governmentality
    • Algorithms
    • Knowledge production

    Cite this

    Flyverbom, M., Klinkby Madsen, A., & Rasche, A. (2015). Big Data as Governmentality: Digital Traces, Algorithms, and the Reconfiguration of Data in International Development. St. Gallen: Humanistic Management Network. Research Paper Series / Humanistic Management Network, No. 42/15, DOI: 10.2139/ssrn.2698026
    Flyverbom, Mikkel ; Klinkby Madsen, Anders ; Rasche, Andreas. / Big Data as Governmentality : Digital Traces, Algorithms, and the Reconfiguration of Data in International Development. St. Gallen : Humanistic Management Network, 2015. (Research Paper Series / Humanistic Management Network; No. 42/15).
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    Big Data as Governmentality : Digital Traces, Algorithms, and the Reconfiguration of Data in International Development. / Flyverbom, Mikkel; Klinkby Madsen, Anders; Rasche, Andreas.

    St. Gallen : Humanistic Management Network, 2015.

    Research output: Working paperResearch

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