Archives, Access, and Artificial Intelligence – Working with Born–Digital and Digitised Archival Collections

Author:   Lise Jaillant
Publisher:   Transcript Verlag
ISBN:  

9783837655841


Pages:   330
Publication Date:   25 April 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Archives, Access, and Artificial Intelligence – Working with Born–Digital and Digitised Archival Collections


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Overview

Digital archives are transforming the Humanities and the Sciences. Digitized collections of newspapers and books have pushed scholars to develop new, data-rich methods. Born-digital archives are now better preserved and managed thanks to the development of open-access and commercial software. Digital Humanities have moved from the fringe to the center of academia. Yet, the path from the appraisal of records to their analysis is far from smooth. This book explores crossovers between various disciplines to improve the discoverability, accessibility, and use of born-digital archives and other cultural assets.

Full Product Details

Author:   Lise Jaillant
Publisher:   Transcript Verlag
Imprint:   Transcript Verlag
Dimensions:   Width: 14.70cm , Height: 1.50cm , Length: 22.60cm
Weight:   0.666kg
ISBN:  

9783837655841


ISBN 10:   3837655849
Pages:   330
Publication Date:   25 April 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction; Artificial Intelligence and Discovering the Digitized Photoarchive; Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive; Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users; Towards Critically Addressable Data for Digital Library User Studies; Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports; Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities; Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription; AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS); Authors (by order of appearance in the volume).

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Besprochen in: https://universoabierto.org, 23.01.2022


Author Information

Lise Jaillant has a background in publishing history and digital humanities. She is an expert on issues of Open Access and privacy with a focus on archives of digital information. She was the first researcher to access the emails of the writer Ian McEwan at the Harry Ransom Center in Texas. Her work has been recognised by a British Academy Rising Star award. She is currently leading two externally-funded international networks on artificial intelligence applied to digital archives: the UK/Irish network AURA (www.aura-network.net) and the UK/US network AEOLIAN (www.aeolian-network.net). For more information, see: www.lisejaillant.com.

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