From Sources to Data to Models: Tools for Interpreting the Evolution of Knowledge Systems

Version 2

This is the data for the DH2024 pre-conference workshop about Socio-Epistemic Networks (SEN), a framework intended to study the evolution of knowledge over time. In the process learn how to automate data extraction from historical sources, explore language-based change in historical documents using text embeddings and divergence measures, and what insights can be gained through modelling and simulation methods about the biases embedded in archives as well as introduced through data collection.

After the workshop we corrected some typos in the notebooks and created summaries of the discussions for each part based on the comments of the participants. Thank you very much for your contributions.