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The Data-Intensive University

Previously I have argued that we now live within a horizon of interpretability determined in large part by the capture of data and its articulation in and through algorithms (Berry 2011, 2012, 2014, 2017; see also Golumbia 2009). Software and data shape and mediate our direct experience of political, economic and social systems through the automation of innumerable processes. This I call the data-intensive society, drawing on the notion of a fourth paradigm in science. This is informed by an understanding of the changing practices of scientific work understood as a set of scientific exemplar paradigms. These follow from the (1) experimental science paradigm, which is then replaced by (2) theoretical science, (3) computational science (models), and now (4) data-intensive science. Relatedly, the data intensive economy is an economic realisation of the projected gains and possibilities of the data-intensive scientific milieu. This will create new economic structures but also new social …

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