Thanks to digitisation efforts over the past decades, humanities scholars now have access to large digital data collections which can be analysed computationally and quantitatively. Such datasets offer a huge range of opportunities to develop new approaches to answer high-profile research questions.
The main aims of the group are to strengthen relationships and build collaborations at the intersection between data science and digital humanities.
Our goal is to raise the profile of data-driven humanities research at the Turing, open up future collaborations, and strengthen the Turing’s links with organisations such as the British Library, The National Records of Scotland and The UK National Archives.
The group will show the key role that can be played by The Alan Turing Institute in the area of Digital Humanities by demonstrating that data science research can answer questions relevant to the humanities and vice versa, thus benefiting both fields. This will be achieved with meetings, workshops, and joint research projects.
Translating fundamental research in data science into lasting impact in the humanities requires interdisciplinary efforts, through the sharing of perspectives, methods and knowledge. The interest group builds on the organisers’ extensive experience in interdisciplinary research on historical data and brings together people from a range of different disciplines.
This group is composed of members who are involved in delivering and supporting digital humanities teaching and training whether through standalone courses and degree programs or as part of a broader research skills training program across different degrees. An increasing number of institutions are offering teaching provision in the digital humanities, though we recognise that this has reached differing levels of maturity in different locations.
The aim of the sub-group is to provide a forum for the exchange and discussion of the practical and theoretical challenges including institutional barriers related to DH teaching. In particular, we are interested in exploring the following:
- how to develop good practice in DH teaching, continuing to uphold high pedagogical standards and pursuing innovative teaching approaches that keep pace with the research and technological advances in our discipline
- how to address institutional challenges that arise from the often fragmentary nature of DH teaching provision, such as liaising across faculties, providing relevant courses for a range of subjects and study levels, and retaining skilled staff
- how to coordinate efforts across training offerings in order to foster complementarity and address existing gaps
We draw on group members' varied experiences of supporting teaching at their institutions to identify successful strategies. We propose regular face-to-face events for colleagues to discuss and debate these issues and promote broader networking.
Chair: Anne Alexander (Cambridge)
Members: Bea Alex (Edinburgh), Anne Alexander (Cambridge), Giovanni Colavizza (Turing), James Cummings (Newcastle), Rachele De Felice (UCL), Fiona Douglas (Leeds), Leif Isaksen (Exeter), Ewan Jones (Cambridge), Anouk Lang (Edinburgh), Nora McGregor (BL), Thierry Poibeau (ENS), Pip Willcox (National Archives)
Digital Humanities Data Study Groups
The aim of this working group to explore opportunities to submit a DH-themed "challenge" for a Turing Data Study Group.
Chair: Barbara McGillivray
Members: Adam Farquhar (British Library), Anne Alexander (Cambridge), David Beavan (Turing), Eirini Goudarouli (The National Archives), James Freeman (Bristol), Lise Jaillant (Loughborough), Mark Bell (The National Archives), Matthew Gremby (Newcastle), Mia Ridge (British Library), Nick Holliman (Newcastle), Stephen Roberts (History of Parliament).
Data Science and Digital Humanities Manifesto
This working group aims to draft a position paper or manifesto of Data Science and Digital Humanities.
Chair: Barbara McGillivray
Members: Mariona Coll Ardanuy (Turing), David Beavan (Turing), Giovanni Colavizza (Turing), David De Roure (Oxford/Turing), Adam Farquhar (British Library), Eirini Goudarouli (The National Archives), Nick Holliman (Newcastle).
- Turing Lecture 'Data science or data humanities?' Speaker: Melissa Terras. Host: Barbara McGillivray. 5 March 2019, The Alan Turing Institute
Andrea Nini, University of Manchester
Eirini Goudarouli, The National Archives
Pip Willcox, The National Archives
James Cummings, University of Newcastle
James Freeman, University of Bristol
Julianne Nyhan, University College London
Leif Isaksen, University of Exeter
James Loxley, University of Edinburgh
Nicholas Cole, University of Oxford
Nicola Osborne, University of Edinburgh
Rachele De Felice, University College London
Thomas Irvine, University of Southampton
Sarah Ames, National Library of Scotland
Lorna Hughes, University of Glasgow
Jennifer Richards, University of Newcastle