Jamie McLaughlin is based in The Digital Humanities Institute at the University of Sheffield, developing software for projects based there. Since joining the DHI, Jamie has worked on over thirty digital humanities projects including the Hartlib Papers, Beyond the Multiplex, Digital Panopticon and The Old Bailey Proceedings. His present areas of interest include machine learning, 3D visualisation, WebXR and digital product design.

Research interests

Machine Learning, particularly Named Entity Recognition and text classification.

3D Visualisation, particularly low-cost, accessible Head Mounted Display technology and open browser standards such as WebGL and WebXR.

Digital product design, Particularly interface design, usability and long-term maintainability of digital products.


McLaughlin, Jamie. ‘Strategies for Maximising the Maintainability of Digital Humanities Websites’. In: Lana Pitcher and Michael Pidd. Proceedings of the Digital Humanities Congress 2018. Studies in the Digital Humanities. Sheffield: The Digital Humanities Institute, 2019. Available online at: <https://www.dhi.ac.uk/openbook/chapter/dhc2018-mclaughlin>

Wessels, B., Borrill, K., Sorensen, L., McLaughlin, J. and Pidd, M. Understanding Design for the Digital Humanities. Studies in the Digital Humanities. Sheffield: The Digital Humanities Institute, 2015. Available online at: <https://www.dhi.ac.uk/openbook/book/understanding-design-for-the-digital-humanities>  

‘Finding Needles in Haystacks: Data-mining in Distributed Historical Datasets’ By Fabio Ciravegna, Mark Greengrass, Tim Hitchcock, Sam Chapman, Jamie McLaughlin, Ravish Bhagdev in Greengrass, M., & Hughes, L. (Eds.). (2008). The Virtual Representation of the Past (1st ed.). Routledge. https://doi.org/10.4324/9781315551753  

Xiaoling Hu, Nigel Williamson, Jamie McLaughlin, Sheffield Corpus of Chinese for Diachronic Linguistic Study1, Literary and Linguistic Computing, Volume 20, Issue 3, September 2005, Pages 281–293, https://doi.org/10.1093/llc/fqi034      

Teaching interests

  • Machine Learning.
  • Virtual worlds, 3D visualisation and WebXR.
  • Digital product design.

Teaching activities

  • Teaching on IPA61001 Introduction to Cultural Data.
  • Teaching IPA61004 Designing Cultural Data Products.
  • E-Portfolio supervision.