Barbara McGillivray
Barbara McGillivray is senior research associate at the University of Cambridge and Turing research fellow at The Alan Turing Institute, where she runs the Humanities and Data Science special interest group. Since 2019 she has been editor-in-chief of the Journal of Open Humanities Data, where she has been building a community of Digital Humanities scholars engaged with open publishing and disseminating a culture for data sharing among early-career researchers and students. She is programme chair of the Computational Humanities Research workshop and member of several committees, including the EUfunded COST action “European network for Web-centred linguistic data science”. She holds a degree in Mathematics and one in Classics from the University of Firenze (Italy), and a PhD in Computational Linguistics from the University of Pisa (2010). Before joining the Turing and Cambridge she worked as a language technologist in the Dictionaries division of Oxford University Press and as a data scientist in the Open Research Group of Springer Nature. Barbara McGillivray’s research is centred around a synergetic relationship between the Humanities and the computational sciences. Her first book, Methods in Latin Computational Linguistics, was published by Brill in 2013 and her second book, Quantitative Historical Linguistics. A corpus framework, co-authored with Gard B Jenset, was published by Oxford University Press in 2017. Her third book, Applying Language Technology in Humanities Research. Design, Application, and the Underlying Logic (Palgrave Macmillan 2020) embeds Language Technology concepts in Humanities research practice.