Digital Humanities Centre
at Lancaster University
Who we are
Lancaster’s Digital Humanities Centre brings together internationally recognised centres of excellence in the spatial humanities, corpus linguistics and natural language processing (NLP), and combines these with broad expertise across the digital humanities as a whole.
What we offer
We host an MA in Digital Humanities and have PhD students studying a range of inter-disciplinary topics and are keen to recruit more. We can provide access to an excellent range of digital resources to researchers and students, and we have a very active research community that runs a range of conferences, forums and seminar series. In addition, we offer short courses in a range of topics in Digital Humanities through the Lancaster Summer Schools series. Please see the Teaching & Training page for more information.
Recent projects have been funded by: the European Research Council, the Andrew M. Mellon Foundation, the Leverhulme Trust, the Arts and Humanities Research Council, the Economic and Social Research Council, COST, the US National Endowment for the Humanities, the Heritage Lottery Fund and the Newby Trust. We are strongly involved in collaborative work with non-academic organisations in the local region – which includes the Lake District – as well as with national and international organisations.
The Spanish empire controlled the majority of the Western Hemisphere’s lands and peoples for more than three centuries. Its vast administration in the Americas depended on the work of royal notaries, Indigenous artists, and printers, who produced prodigious amounts of written and printed documents. Despite the extensive documentation, present-day understanding of the Spanish colonial enterprise is fragmentary due to the archive’s intellectual inaccessibility: Scholars and interested audiences must decipher archaic penmanship, obscure writing conventions, and unfamiliar Indigenous imagery to read these historical sources—a task that requires trained eyes. This project seeks to use artificial intelligence (AI) technologies to automatically convert this “unreadable” archive into accessible data.