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  1. Data Derivatives.Louise Amoore - 2011 - Theory, Culture and Society 28 (6):24-43.
    In a quiet London office, a software designer muses on the algorithms that will make possible the risk flags to be visualized on the screens of border guards from Heathrow to St Pancras International. There is, he says, ‘real time decision making’ – to detain, to deport, to secondarily question or search – but there is also the ‘offline team who run the analytics and work out the best set of rules’. Writing the code that will decide the association rules (...)
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  • How Our Days Became Numbered: Risk and the Rise of the Statistical Individual.[author unknown] - 2015
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  • The Spectrum of Control: A Social Theory of the Smart City.Jathan Sadowski & Frank A. Pasquale - unknown
    There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies—turning them into platforms for the “Internet of Things” : sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through (...)
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  • Inflated granularity: Spatial “Big Data” and geodemographics.Jim Thatcher & Craig M. Dalton - 2015 - Big Data and Society 2 (2).
    Data analytics, particularly the current rhetoric around “Big Data”, tend to be presented as new and innovative, emerging ahistorically to revolutionize modern life. In this article, we situate one branch of Big Data analytics, spatial Big Data, through a historical predecessor, geodemographic analysis, to help develop a critical approach to current data analytics. Spatial Big Data promises an epistemic break in marketing, a leap from targeting geodemographic areas to targeting individuals. Yet it inherits characteristics and problems from geodemographics, including a (...)
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  • Big Data from the bottom up.Alison Powell & Nick Couldry - 2014 - Big Data and Society 1 (2).
    This short article argues that an adequate response to the implications for governance raised by ‘Big Data’ requires much more attention to agency and reflexivity than theories of ‘algorithmic power’ have so far allowed. It develops this through two contrasting examples: the sociological study of social actors used of analytics to meet their own social ends and the study of actors’ attempts to build an economy of information more open to civic intervention than the existing one. The article concludes with (...)
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