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• 11 sep 2017

  12 sep 2017

  13 sep 2017

  Paris

  Conference, symposium - Sociology

  Governing by Prediction?

  Models, data and algorithms in and for governance

  Computation, be it based on statistical modeling or newest techniques of predictive analytics, holds the promise to be able to anticipate and act infallibly on futures and uncertain situations more generally. That the future is an object of governmental knowledge and action is nothing new though. What is the characteristic of today’s relationship with futures in policy making and action? To what extent do the means of computation, from statistical models to learning algorithms employed in predictive analytics change this relationship, and the collective capacity and legitimacy to engage with future, uncertain situations? How do technologies of prediction change policies? Who predicts, how, and with what effects on decisions and administration and on their politics? More generally, how do ways of predicting institutionalize, fail to do so or change?

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