title: Computational perspectives in the history of science: to the memory of Peter Damerow.
abstract: Computational 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.
authors.affiliation: School of Life Sciences, Arizona State University, Tempe, Arizona 85287-4501, USA.
authors.forename: Manfred D
authors.initials: MD
authors.lastname: Laubichler
authors.forename: Jane
authors.initials: J
authors.lastname: Maienschein
authors.forename: Jürgen
authors.initials: J
authors.lastname: Renn
mesh_terms: D001185:Artificial Intelligence / Q000266:history*; D049673:History, 20th Century; D049674:History, 21st Century; D006801:Humans; D008288:Malaria / Q000266:history; D012106:Research / Q000266:history* / Q000458:organization & administration; D012586:Science / Q000266:history* / Q000379:methods