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Data Science and Digital Cultural Heritage

Facilitating new connections between the disciplines and professions that can transform the Global Data Context

3 October 2018

Grant


ҰԳ:Grand Challenges Special Initiatives
Year awarded: 2018-19
Amount awarded: £2,250

Academics


  • Julianne Nyhan, Department of Information Studies, Arts & Humanities
  • Tessa Hauswedell, School of European Languages and Culture, Arts & Humanities 

The aim of the project was to identify the unique expertise that each profession can bring to the building of a ‘critical data science’. 

The first activity was an evening lecture by Dr Nana Bonde Thypstrup titled “Feminist Digital Humanities and the Infrapolitics of Mass Digitization” followed by a networking reception. This event was attended by approximately 60 academics and heritage professionals.

This was followed by a 1-day symposium which assembled a group of curators, archivists, information professionals from the public and private sector together with humanities and computer science researchers. The symposium examined ‘critical data science’ in a way that foregrounded questions of culture, power and knowledge. The symposium was organised around three panels.

  • The first panel discussed recent or ongoing projects which are working with digital cultural heritage datasets such as the Scottish National Heritage Partnership, Living with Machines and the Ancient Identities project, to establish how they approach issues of bias and prejudice in the datasets they are working with and how they actively seek to mitigate these biases.
  • The second panel was dedicated to the question of data science and cultural heritage training: to what extent do critical perspectives feature in training and which skill sets does the next generation of archivists, humanists and curators and information professionals need to have in order to build, curate and maintain the future datasets? How do archivists and digital content providers need to rethink their archival practices in the digital age, and what kind of formal training should be available to humanities researchers who want to work with big data repositories?
  • The final panel addressed the most pressing challenges in the field of data science and cultural heritage and debated what type of research development was needed in the medium to long term. 

Drawing on the new knowledge and information gained during the events, Professor Nyhan has been contributing to a forthcoming report of the Turing Institute on Data Science and the Humanities. 

Outputs and Impacts


  • Evening Lecture: Feminist Digital Humanities and the Infrapolitics of Mass Digitization
  • 1-day Symposium 
  • DzDz:
  • Contributions to the Alan Turing Institute white paper: