Highlights: Foresights and futures studies depend on the adequacy of our knowledge of the present and the past. Big data evidence suggests that the English language area was not capitalist between 1800 and 2000. Popular social macro trend statements ought to be regularly scrutinised so as to reduce the risk that inadequate trend assumptions are […]
Read more "Release | Was that capitalism? A future-oriented big data analysis of the 19th and 20th century"
Abstract: Using the updated Google Book corpus dataset generated in July 2012, we analyze the largest available corpus of digitalized books to review social macro trends such as the secularization, politicization, economization, and mediatization of society. These familiar trend statements are tested through a comparative analysis of word frequency time-series plots for the English, French, […]
Read more "Release | An Updated Google Ngram View of Trends in Functional Differentiation (1800-2000)"
I have been invited to speak at this year’s City University of Hong Kong workshop on Computational Approaches to Big Data in the Social Sciences and Humanities, June 6, 2016. Do check the website and consider to participate! A short report on the workshop is available here.
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Call for Papers to the T 14_01 Next Management Theory track at the EURAM Annual Conference in Paris, June 1-4, 2016 Next Management Theory track invites contributions to the fields of management and organization theory. We welcome papers that address the general significance of theorizing or reappraise classical key concepts and their adequacy to the post-millenium […]
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