A New Framework for Research and Training in Computational History of Science

We describe a new suite of computational tools under development at ASU for collaborative historical network research, and an example of how we are putting those tools to work in a student-­run investigation of conceptual novelty and change in 20th-century plant ecology. We also discuss a new model for interdisciplinary training and research in data science that brings together undergraduate and graduate students from computer science, biology, and the history and philosophy of science.