Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections
Year: 2022
Type: book
Abstract: 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.
Source: Digital humanities research
Institutions: University of London, University of the Arts London
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: hybrid
Awards: Estimation and testing in low rank multivariate models, Survival of the Weakest: Preserving and Analysing Born-Digital Records to Understand How Small Poetry Publishers Survive in the Global Marketplace, Properties of Approximate Inference for Complex High-Dimensional Models, EAGER: Automated Watermark and Moldmate Identification, "Big-Data" Asymptotics: Theory and Large-Scale Experiments
OpenAlex ID: W4224251572