Kaspar Beelen is a digital historian who explores the application of machine learning to humanities research. He obtained an interdisciplinary PhD in History and Linguistics (2014) at the University of Antwerp, in which he studied identity in political discourse through the angle of pronouns. He continued as postdoctoral fellow at the University of Toronto and University of Amsterdam, analysing parliamentary discourse from various angles, such as the representation of women in Westminster and the use of affect in parliamentary language. In 2016, he became assistant professor in Digital Humanities (Media Studies, Amsterdam) and later moved to the Alan Turing Institute, where he worked as research associate for the Living with Machines project. At the Turing, Kaspar focused on understanding and analysing bias in digitised heritage, predominantly newspapers collections. At the same time, he engaged with various other topics, studying maps at scale, the history of machine animacy, and the detection of place names in text.

PhD Supervision

In general, I would be interested in supervising future PHD projects which combine humanities research with machine learning and statistics. More specifically, my areas of interest are computational methods for digital history, the study of bias in big historical data, the politics of big data, and the computational analysis of political text. I'd also be happy to support research on the Large Language Models and In-context Learning in the context of historical research or GLAM.