|Tilburg University, Pays-Bas|
Understanding and shaping the economic, social, legal, and political effects of datafication
For the last years, datafication has been massively impacting processes within organizations, industries and markets, and more generally throughout the society. To a large extent this development was driven by the increasing reliance on information and communication technologies, which support an increasing share of economic and social transactions and systematically record the resulting tracks, leading to a profusion of data about behaviors, processes and flows. Complement to this increased availability of data, tremendous progresses have also been made within firms and governments to analyze them and to rely on them to refine processes and manage experiments (Mayer-Schönberger and Cukier, 2013). Machine learning pushes this loop between data accumulation and innovation even further.