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2023
Journal article
Working at scale: what do computational methods mean for research using cases, models and collections?
Open access, peer-reviewed article published in Science Museum Group Journal, as part of a double-length special issue for the AHRC TaNC discovery project, 'Congruence Engine'. The article gives a critical overview of how 'scale' operates as a keyword within computational humanities as well as reviewing a number of cognate fields,...Wilson, Daniel C S
machine learning, AI for GLAM, STS, scale, computational humanities, history, and congruence engine
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2022
Journal article
A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
We present a new dataset for the task of toponym resolution in digitized historical newspapers in English. It consists of 343 annotated articles from newspapers based in four different locations in England (Manchester, Ashton-under-Lyne, Poole and Dorchester), published between 1780 and 1870. The articles have been manually annotated with mentions... -
2021
Journal article
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital). This library transforms the way historians can use maps by turning extensive, homogeneous map sets into searchable primary sources. MapReader allows users with little or no computer vision expertise to i)...Hosseini, Kasra ; Wilson, Daniel C.S. ; Beelen, Kaspar ; McDonough, Katherine
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2019
Journal article
Design Choices for Productive, Secure, Data-Intensive Research at Scale in the Cloud
We present a policy and process framework for secure environments for productive data science research projects at scale, by combining prevailing data security threat and risk profiles into five sensitivity tiers, and, at each tier, specifying recommended policies for data classification, data ingress, software ingress, data egress, user access, user...Arenas, Diego ; Atkins, Jon ; Austin, Claire ; Beavan, David ; Cabrejas Egea, Alvaro …
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2021
Journal article
Neural Language Models for Nineteenth-Century English
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The language model architectures include static (word2vec and fastText) and contextualized models (BERT and Flair). For each architecture, we trained a model instance...Hosseini, Kasra ; Beelen, Kaspar ; Colavizza, Giovanni ; Coll Ardanuy, Mariona
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2021
Journal article
Maps of a Nation? The Digitized Ordnance Survey for New Historical Research
Although the Ordnance Survey has itself been the subject of historical research, scholars have not systematically used its maps as primary sources of information. This is partly for disciplinary reasons and partly for the technical reason that high-quality maps have not until recently been available digitally, geo-referenced, and in color....Hosseini, Kasra ; McDonough, Katherine ; van Strien, Daniel ; Vane, Olivia ; Wilson, Daniel C.S.
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2018
Journal article
Babbage among the insurers: Big 19th-century data and the public interest
This article examines life assurance and the politics of ‘big data’ in mid-19th-century Britain. The datasets generated by life assurance companies were vast archives of information about human longevity. Actuaries distilled these archives into mortality tables – immensely valuable tools for predicting mortality and so pricing risk. The status of...Wilson, Daniel C.S.
big data, Thomas Rowe Edmonds, Charles Babbage, public interest, and insurance