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• 15 fév 2016

  San Antonio

  Beitragsaufruf - Ethnologie, Anthropologie

  Encoding Data for Digital Collaboration (ASOR 2016)

  Data encoding entails an analog-to-digital conversion in which the characteristics of an object, text, or archaeological site can be represented in a specialized format for computer handling. Once encoded, data can be stored, sorted, and analyzed through a variety of computer-based techniques ranging from specialized data-mining algorithms to user-friendly mobile apps. Especially when encoded data is open-source, researchers around the world can collaborate on the collection, encoding, and analysis of data.

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• 15 mai 2015

  Paris

  Beitragsaufruf - Politikwissenschaften

  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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