Data-Driven Personalisation in Markets, Politics and Law

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The most fascinating and profitable subject of predictive algorithms is the human actor Analysing big data through learning algorithms to predict and preempt individual decisions gives a powerful tool to corporations, political parties and the state Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political microtargeting, precision medicine, and predictive policing and prison sentencing This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law By offering these insights, this collection on datadriven personalisation seeks to stimulate an interdisciplinary debate on one of the most

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