Lucy Havens’ research lies at the intersection of natural language processing, data visualization, and cultural heritage. As a PhD student at the University of Edinburgh, she is researching how to measure and evaluate gender bias in archival metadata descriptions. Now in the third year of her PhD, her research focuses particularly on building classification models to detect gender biased language, having previously developed an interdisciplinary methodology and an annotated dataset for this work. She has an AMSc in Design Informatics from the University of Edinburgh and received the Edinburgh College of Art Award for her dissertation, the outputs of which were purchased and accessioned by University of Edinburgh Art Collections. Before moving to the UK, Lucy worked as a business and technology consultant in the US, specializing in Customer Experience. She has a BS in Information Systems from Carnegie Mellon University, with minors in English Studies and in French and Francophone Studies.
Lucy has joined the Turing to work on the Living with Machines project as a Research Engineering Group Intern. Her work focuses on linking between place names in the topographical dictionaries of Samuel Lewis (one dictionary each for Scotland, Wales, and England) and Wikidata.