Big Data and historical social science

Big Data and Society 2 (2) (2015)
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Abstract

“Big Data” can revolutionize historical social science if it arises from substantively important contexts and is oriented towards answering substantively important questions. Such data may be especially important for answering previously largely intractable questions about the timing and sequencing of events, and of event boundaries. That said, “Big Data” makes no difference for social scientists and historians whose accounts rest on narrative sentences. Since such accounts are the norm, the effects of Big Data on the practice of historical social science may be more limited than one might wish.

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Narration and knowledge: including the integral text of Analytical philosophy of history.Arthur Coleman Danto - 1985 - New York: Columbia University Press. Edited by Arthur Coleman Danto.

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