A Computational Research System for the History of Science and its Connections to Bioinformatics
Manfred Laubichler, Julia Damerow, & Erick Peirson Arizona State University
Tuesday, February 19, 2013
Swain Hall West 007
Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, expanding dramatically the scale of analysis (geographically and temporally) and offering novel forms of publication that greatly enhance access and transparency. In this talk we present a brief summary of a computational research system for the history of science, introduce some of the tools and use cases, discuss 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 emphasizing big data. One of the connections of this approach is with genomics and we will explore the isomorphic structure between different types of historically evolving information systems, such as genomes and science. We also argue that computational approaches help to reconnect the history of science to individual scientific disciplines.
Sponsored by the Catapult Center for Digital Humanities & Computational Analysis of Texts