Cybernetics as disciplinary cross-pollination: Anthropology by data science

Technoetic Arts 19 (1):97-112 (2021)
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Abstract

This article employs a cybernetic approach to explore the scope of what constitutes anthropological and ethnographic research and the potential to utilize data science techniques to broaden what constitutes ethnography. Four types of relationships anthropologists historically have tended to seek out with data science as a discipline: anthropology of data science, anthropology over data science, anthropology with data science and, the least developed of the four, anthropology by data science. I relate potential insights data scientists have cultivated on abductive, bottom-up quantitative research that might be useful for anthropologists in particular and cybernetically minded thinkers in general. Grounded Nick Seaver’s concept of bastard disciplines and methodologies, an anthropology by data science relationship provides a beneficial way to ground such strategic incorporations within anthropological research and helpful food for thought for cybernetic scholars in other disciplinary contexts.

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Governing Algorithms: Myth, Mess, and Methods.Malte Ziewitz - 2016 - Science, Technology, and Human Values 41 (1):3-16.

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