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• 15 fév 2021

  Strasbourg

  Call for papers - Europe

  Is the concept of sustainability misleading?

  Mixed Perspectives

  The Symposium will thus offer an excellent opportunity to question the concept of sustainability at the crossroads of our various disciplines and practices, in order to better understand and master the way it affects environmental research lato sensu. The ambition of this symposium will be to contribute to the emergence of a “new innovative sustainability science discipline” by questioning the misuse that may have been made of the concept over the last forty years, by reflecting on the means of ruling out such abuses, by rigorously drawing the contours of “environmental sustainability” and by trying to understand how it still makes sense.

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• 26 mar 2020

  27 mar 2020

  28 fév 2020

  Paris

  Conference, symposium - Sociology

  The critic of automatic reason - stupidity and intelligence in the digitalisation of the world

  Bêtise(s) et intelligence(s) de la numérisation du monde

  En raison de l’épidémie actuelle de Covid-19, l'événement a été annulé et est en attente d'un report à une date ultérieure.

  Ce colloque sera le moment de réfléchir à l’entrelacs entre différentes strates problématiques de la « numérisation du monde », sans négliger un élément central : toutes ces intelligences ont toujours besoin d’exister d’une manière ancrée, ce qui nous conduit à mettre en évidence le concept de territoire. Celui-ci ne sera pas entendu au sens simplement physique, mais aussi écologique, administratif, politique, éthique et existentiel, de l’ordre du milieu ou du transindividuel. L'évènement sera l'occasion d’explorer ces nouveaux territoires et leurs intelligences (à l’aide des outils de l’architecture, de l’urbanisme et du design) pour aller au-delà des smart territories, au sens plat et « bête » de déploiement massif de toutes sortes de devices numériques.

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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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