Computational History and Philosophy of Science
PhD Candidate Julia Damerow explaining concepts in software engineering
We use a variety of computational tools and techniques to aid historical and philosophical study of the life sciences. The rapidly declining cost of computing power and the increasing availability of both primary and secondary materials in digital formats makes it possible to translate historical and philosophical questions into computationally tractable ones. Computational approaches can range from simple term-frequency analysis of large scientific corpora, to complex reconstructions of the social, material, and conceptual fabrics of scientific fields using both automated and supervised procedures.
For more information, see our ongoing projects.
These efforts are supported by a lively team of computer scientists, the Digital Innovation Group (DigInG).
This work has been supported by the following grants from the National Science Foundation: 0623176, 0645729 (CAREER), 0957085, 0926026, 1127611 and 1243575 (INSPIRE).