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  1. Critical data studies: An introduction.Federica Russo & Andrew Iliadis - 2016 - Big Data and Society 3 (2).
    Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...)
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  • Tracking the Topological: The Effects of Standardised Data Upon Teachers’ Practice.Steven Lewis & Ian Hardy - 2017 - British Journal of Educational Studies 65 (2):219-238.
    This article draws upon recent theorising of the ‘becoming topological’ of space– specifically, how new social spaces are constituted through relations rather than physical locations – to explore how standardised data, and specifically test data, have influenced teachers’ work and learning. We outline the varied ways in which teacher practices at a primary school in Queensland, Australia, were actively constituted through processes of ‘tracking data’ and ‘keeping data on-track’, and how teachers were simultaneously being disciplined, or ‘tracked’, by these very (...)
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  • Data politics.Didier Bigo, Engin Isin & Evelyn Ruppert - 2017 - Big Data and Society 4 (2).
    The commentary raises political questions about the ways in which data has been constituted as an object vested with certain powers, influence, and rationalities. We place the emergence and transformation of professional practices such as ‘data science’, ‘data journalism’, ‘data brokerage’, ‘data mining’, ‘data storage’, and ‘data analysis’ as part of the reconfiguration of a series of fields of power and knowledge in the public and private accumulation of data. Data politics asks questions about the ways in which data has (...)
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