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Jun. 20-21, 2019: UK-US Computational Archival Science Datathon in London

The National Archives, Kew UK:

Organizers:

Left to right

Welcome:

Dr Mark Hedges, Senior Lecturer, Department of Digital Humanities, King’s College London and Dr Eirini Goudarouli, Digital and Technology Research Lead, The National Archives, UK.

Computational Archival Science (CAS) AHRC Network

King’s College London’s Department of Digital Humanities, together with The National Archives UK, the Digital Curation Innovation Center at the University of Maryland iSchool and the Maryland State Archives in the US, were awarded an Arts and Humanities Research Council one-year International Research Networking grant for UK-US Collaborations in Digital Scholarship in Cultural Institutions, running from February 1, 2019 to January 31, 2020. See: https://ai-collaboratory.net/2020/03/02/cas-symposium_at_the_alan_turing_institute/

This AHRC-funded network addresses the field of Computational Archival Science (CAS), specifically the application of computational methods to the contextualisation of records within archival collections, at a time when the archive is becoming an increasingly digital space.

Through a series of events held in both the US and the UK, the network will explore how collections can be made available, digitally, for large-scale computational research. For more information about the network and its activities, you can visit the network’s page at computationalarchives.net.

Workshop: Exploring data, investigating methodologies

Working in small groups, the multi-disciplinary teams explored selected datasets from The National Archives’ collections under the leadership of experts in these research areas.

The main focus of the event was to unlock the black box of digital research: to understand and explore the conceptual and methodological challenges and ethical implications that digital brings to our understanding of the record and the archival context, and to suggest new ways for archives to become more accountable, collaborative and transparent.

The event encouraged experimentation, collaboration, engagement and discussion between the group leaders and working groups, enabling opportunities throughout the two days to discuss how we can explore the data and the decision-making involved, based on specific challenges.

Outcome

One of the main aims of the workshop is to publish a white paper based on the data exploration and discussions which will take place in the working groups and open discussion. This work will be published under Open Government Licence terms, with the overall piece to be issued as Crown Copyright except where otherwise indicated. Follow us on Twitter @UkNatArcRes and @umdDCIC, or keep updated with the network’s news via the network website, listed above.

Audience

The workshop hosted 45 participants from the institutions mentioned above, but also from:

Working Groups

More details at the July 9, 2019 “Exploring Data, Investigating Methodologies” blog post by Dr Eirini Goudarouli

Group 1 — Datasets: Videos and images — Research Area: Visual Search

Leaders:

Participants:

Group 2 — Dataset: Cabinet Papers — Research Area: Topic Modelling

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Group 3 — Dataset: Legislation data — Research Area: Visualisation

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Group 4 — Dataset: War Diaries — Research Area: Visualisation

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Group 5 — Dataset: Web Archiving — Research Area: Network Analysis

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Computational Archival Science (CAS), data science, data visualization, digital archives, digital research, workshop

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