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The politics of modeling and computing for policy
The aims is to putting in discussion the modes and effects of the use of computational tools in government and public policies. 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. So, 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? Do technologies of prediction change policies and their politics and, if so, how?
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