Computational Archival Science: Automating the Archive
September 7, 2018, Talks Room, The National Archives
10.00-10:15 Welcome and introduction
Welcome: Eirini Goudarouli (The National Archives)
Introduction: Mark Hedges (King’s College London)
10.15-11:15 (15 minutes talk & 5 discussion for each paper)
Chair: Tom Storrar
- Finding hay in a haystack – what do users need from archival search?
Jo Pugh (The National Archives)
- I’ll tell you want I want, what I really, really want: Archival needs or better dialogue?
Jenny Bunn (University College London)
- Music Information Retrieval: Informative Experiences in Computation and the Archive
David de Roure (University of Oxford)
11:15 – 11:30 short break
11:30 – 12:30 (15 minutes talk & 5 discussion for each paper)
Chair: Jo Pugh
- Web archive data and researchers’ needs: how might we meet them?
Tom Storrar (The National Archives)
- What’s Past Is Prologue: Archiving Workflows from the Sublime to the Ridiculous.
Jens Jensen (Science and Technology Facilities Council)
- Open-Source Natural Language Processing and Computational Archival Science: Friends of Foes?
Kalina Bontcheva (University of Sheffield, GATE)
13.30-14:10 (15 minutes talk & 5 discussion for each paper)
Chair: Mark Hedges
- Synchronising Archival Hierarchies
Mike Bryant (King’s College London)
- Digital Forensics in the Archive: Research Use Cases, Archival Requirements, Chances and Caveats of Automation
Thorsten Ries (University of Sussex)
14:10 – 14:15 Introduction to breakout sessions (Mark Hedges)
- Topic 1: Archivists at work: appraisal, selection, classification, organisation, creating finding aids, …
- Topic 2: User perspectives: access, retrieval and interaction with archives, by researchers and public
- Topic 3: Infrastructure requirements for computational archives
- Topic 4: Education & training (BA/BSc, MA/MSc, CDP). What are the consequences of this computational turn for E&T of archivists?
14:15 – 15:15 Breakout sessions (split into groups)
15.45-16:15 Reporting back – Final Discussion (Chair: Mark Hedges)
Workshop partially supported by the PARTHENOS project, which received funding from the EU’s Horizon 2020 Research and Innovation programme under grant agreement: No 654119.