Kaspar Gubler. Digital Humanities as Data Science. Potentials and Limits (Digitizing the Past: Prague Talks on Digital Humanities)

0566018 - FLÚ 2023 eng U - Conference, Workshop Arrangement
Pavlíček, Ota - Cassi Pelikán, Hana
Kaspar Gubler. Digital Humanities as Data Science. Potentials and Limits (Digitizing the Past: Prague Talks on Digital Humanities).
[Prague, 27.04.2022-27.04.2022, (W-EUR 17/8)]
R&D Projects: GA MŠMT(CZ) LM2018101
EU Projects: European Commission(XE) 949710 - ACADEMIA
Institutional support: RVO:67985955
Keywords : digital humanities * data science * network analysis
OECD category: History (history of science and technology to be 6.3, history of specific sciences to be under the respective headings)
https://www.flu.cas.cz/cz/akce-filosofickeho-ustavu-av-cr/27-prednasky/3711-digitizing-the-past-prague-talks-on-digital-humanities#further-information

Digital humanities it’s 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.
Permanent Link: https://hdl.handle.net/11104/0338802