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    Appel à contribution - Études du politique

    Profile, Predict and Prevent

    Data-driven policies, markets and societies

    Algorithms are increasingly used, both by States,market actors and citizens, for the purpose of profiling. Through big data analysis and inference techniques, an attempt is made to better understand, predict and, in certain cases, prevent citizen behaviour. Data analysis techniques are deployed in many sectors of society, from cyber-security and police investigations to judicial decision-making, from product customization and personalisation to marketing strategies and targeted advertising, from self-monitoring to lifestyle improvement. For this conference, we invite researchers, experts and practitioners from different backgrounds to reflect upon the legal, ethical and social implications of data-driven policies, market transactions and quantified-self techniques. We welcome empirical, theoretical and philosophical contributions regarding profiling, prediction and prevention.

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