Digital Humanities as Data Science: Potentials and Limits

Gubler, Kaspar (27 April 2022). Digital Humanities as Data Science: Potentials and Limits (Unpublished). In: Prague Talks on Digital Humanities. Prag. 27.04.2022.

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Digital Humanities is an umbrella term for disciplines in the humanities that focus on research with digital resources and tools. As diverse as the disciplines are, so are their methods and approaches to digital research. For example, machine learning, network analyses or data visualisations, with which we can recognise new patterns, connections and developments in the research data. In these diverse research processes, data science, as will be shown in the presentation, can support the digital humanities by focusing on the quality, consistency and informational value of research data and thus reflecting on the potentials and limitations of digital research in the humanities at the same time.

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

06 Faculty of Humanities > Department of History and Archaeology > Institute of History
06 Faculty of Humanities > Department of History and Archaeology > Institute of History > Medieval History

UniBE Contributor:

Gubler, Kaspar

Subjects:

900 History > 940 History of Europe

Language:

English

Submitter:

Kaspar Gubler

Date Deposited:

23 Oct 2023 08:52

Last Modified:

23 Oct 2023 08:52

Related URLs:

BORIS DOI:

10.48350/187356

URI:

https://boris.unibe.ch/id/eprint/187356

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