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Computational Perspectives in the History of Science: To the Memory of Peter Damerow

Manfred D. Laubichler, Jane Maienschein and Jürgen Renn
Isis
Vol. 104, No. 1 (March 2013), pp. 119-130
DOI: 10.1086/669891
Stable URL: http://www.jstor.org/stable/10.1086/669891
Page Count: 12
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Computational Perspectives in the History of Science: To the Memory of Peter Damerow
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Abstract

ABSTRACTComputational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis (geographically and temporally), and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discussing its implications for research, education, and publication practices and its connections to the open-access movement and similar transformations in the natural and social sciences that emphasize big data. It also argues that computational approaches help to reconnect the history of science to individual scientific disciplines.