Amsterdam
Computational
History
Lab

The Computational History Lab advances historical research through computational methods including multimodal analysis, machine learning, text mining, and network analysis. We develop and apply both quantitative and qualitative computational approaches to expand what questions historians can ask and how they can answer them.

Our lab takes a theory and method-focused approach to historical research, bridging history with data science, cognitive science, and visual studies. We believe computational methods are not merely tools for traditional research but enable fundamentally new ways of understanding the past.

Based at the University of Amsterdam and embedded within the Amsterdam School of Historical Studies, we pursue an interdisciplinary research agenda while training the next generation of computationally skilled historians. We collaborate closely with heritage institutions to develop new methodologies, host visiting researchers, and create teaching materials that advance computational approaches across the historical disciplines.