Multilingual DH

Contacts

• Alíz Horváth

  Assistant Professor

  Alíz Horváth has a PhD in East Asian Languages and Civilizations from the University of...

  Alíz Horváth has a PhD in East Asian Languages and Civilizations from the University of Chicago (2019) and currently works as assistant professor of East Asian History and Digital Humanities at Central European University. She is interested in the mechanisms of transnational flows within and beyond East Asia and is an avid advocate of linguistic diversity in DH. She has published multiple articles on language sensitivity in DH and on challenges and potential points for collaboration in digital East Asian studies and co-guest edited a special issue on East Asian studies and DH for the International Journal of Digital Humanities. Beside regularly presenting her work, which innovatively intertwines digital and “analog” methods in the study of transnational (Japanese, Chinese, and Korean) history, at major international conferences, she is also a member of the Core Editorial Team for the DARIAH sustained project, OpenMethods and has contributed to the pioneering NEH-funded project, New Languages for NLP, organized by Princeton University, Haverford College, DARIAH-EU, and Library of Congress Labs. She is also the creator and host of Humanista: The Podcast, a podcast series on the role and significance of the humanities in the 21st century.   Email: aliz.horvath06@gmail.com Mastodon: @alizhorvathaliz@fedihum.org Twitter: @alizhorvathaliz

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• Maroussia Bednarkiewicz

  Postdoctoral Researcher

  Maroussia Bednarkiewicz is a postdoctoral researcher at the Institute for Asian- and Oriental Studies of...

  Maroussia Bednarkiewicz is a postdoctoral researcher at the Institute for Asian- and Oriental Studies of the University of Tübingen in Germany. She studied German, Russian and Translation at the University of Geneva, and Islamic Studies at the University of Oxford. In her doctoral dissertation she analysed the early history of the Islamic call to prayer. Her project in Tübingen in collaboration with the Cluster of Excellence for Machine Learning explores the development of new digital methods for the study of Classical Arabic texts. Contact: maroussia.bednarkiewicz@uni-tuebingen.de

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