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        Modelling Between Digital and Humanities

        Thinking in Practice

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        Author(s)
        Ciula, Arianna
        Eide, Øyvind
        MARRAS, CRISTINA
        Sahle, Patrick
        Collection
        ScholarLed
        Language
        English
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        Abstract
        This volume presents an exploration of Digital Humanities (DH), a field focused on the reciprocal transformation of digital technologies and humanities scholarship. Central to DH research is the practice of modelling, which involves translating intricate knowledge systems into computational models. This book addresses a fundamental query: How can an effective language be developed to conceptualize and guide modelling in DH? Modelling, with its historical roots, carries multifaceted meanings influenced by various disciplinary contexts. Modelling Between Digital and Humanities innovatively connects DH with the historical tradition of model-based thinking in the humanities, cultural studies, and the sciences. It endeavors to reshape interpretative frameworks by contextualizing DH's modelling practices within a broader conceptual landscape. Through an exploration of digital, visual and data models, the book asserts that DH holds the potential to be a cornerstone of a novel cultural literacy paradigm. By probing the interplay between technology and thought, the book ultimately positions DH as a catalyst for transformative cultural insights.
        URI
        https://library.oapen.org/handle/20.500.12657/86215
        Keywords
        Modelling;Computational models;Language;technology;literature
        DOI
        10.11647/OBP.0369
        ISBN
        9781800648463, 9781805110989, 9781800648111, 9781800648951, 9781800649705, 9781800649491
        Publisher
        Open Book Publishers
        Publisher website
        https://www.openbookpublishers.com/
        Publication date and place
        Cambridge, 2023
        Pages
        238
        Rights
        https://creativecommons.org/licenses/by-nc/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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