The datafication of our world offers huge challenges and opportunities for social science. The ?data-drivenness? of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ?quantitative? dimensions of big data with the ?qualitative? sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational...
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