Barbara McGillivray is a Turing Research Fellow at The Alan Turing Institute and Editor in Chief of the Journal of Open Humanities Data. Since September 2021, she is also a lecturer in Digital Humanities and Cultural Computation at the Department of Digital Humanities of King's College London. Before joining the Turing, she was language technologist in the Dictionary division of Oxford University Press and data scientist in the Open Research Group of Springer Nature. Her research at the Turing is on how words change meaning over time and how to model this change in computational ways. She works on machine-learning models for the change in meaning of words in historical times (Ancient Greek, Latin, eighteen-century English) and in contemporary texts (Twitter, web archives, emoji). Her interdisciplinary contribution covers Data Science, Natural Language Processing, Historical Linguistics and other humanistic fields, to push the boundaries of what academic disciplines separately have achieved so far on this topic.
Our 2022 webinar series was a joint initiative with the Language Technology and Data Analysis Laboratory (LADAL) at the School of Languages and Cultures, The University of Queensland.