仏教学とデジタル・ヒューマニティーズの部

Christoph Anderl is Professor of Chinese Language and Culture at the Department of Languages and Cultures, Ghent University, where he has been working since 2015. Before that, he held positions as Senior Research Fellow at KHK / CERES (Ruhr Univ. Bochum, 2010-2014) and Oslo University (2005-2010). He completed his PhD (Studies in the Language of Zǔtáng jí 祖堂集, Oslo University) in 2005, and his MA in Chinese and Japanese Studies in 1995 (Vienna University). Anderl’s research interests include Chinese Historical Linguistics with an emphasis on Medieval Chinese, non-canonical narratives in Dunhuang manuscripts, Chinese Chan Buddhism, the interrelation of text and image in Dunhuang art, and Digital Humanities. Anderl is currently the editor-in-chief of the international project “Database of Medieval Chinese Texts” (https://www.database-of-medieval-chinese-texts.be/), initiated in 2015 and housing one of the largest repositories of Chinese medieval character forms. Until recently, he has been Co-investigator and Research Cluster Leader (“Typology of Text and Image Relations, Cliffs and Caves”) of the project “From the Ground Up: Buddhism and East Asia Religions” at UBC, Canada (2016-2024). 

For an overview of ongoing projects, please consult: http://research.flw.ugent.be/en/christoph.anderl. For an overview of his publications, please see https://ugent.academia.edu/ChristophAnderl.

Yu-Chun Wang holds a Ph.D. in Computer Science and Information Engineering from National Taiwan University. He is currently an Assistant Professor in the Department of Buddhist Studies at Dharma Drum Institute of Liberal Arts, where he also serves as Director of the Information and Communication Section at the university library.

His research interests span natural language processing (NLP), information retrieval, computational linguistics, and digital humanities. His work focuses on integrating text processing technologies with humanities research, with the goal of enhancing scholarly methodologies through computational tools.

Dr. Wang leads and collaborates on multiple research projects related to NLP and digital humanities. He has developed tools for Chinese Buddhist text segmentation and named entity recognition in historical Buddhist biographies, addressing key challenges in processing classical Chinese texts. His work also extends to digital humanities projects involving event extraction from premodern Chinese historical documents and the diachronic phonological evolution of the Southern Min dialect. Through these projects, he actively explores the application of computational methods in textual analysis within the humanities.

Jen-Jou (aka “Joey”) HUNG 洪振洲 was born in Taiwan in 1976. He earned his Ph.D. in Information Management from National Taiwan University of Science and Technology in 2006. He is currently a full-time professor in the Department of Buddhist Studies at Dharma Drum Institute of Liberal Arts, where he also serves as the Director of the Library and Information Center. Additionally, he holds the position of Executive Director of the CBETA Foundation. Dr. Hung actively participates in various digital archiving projects led by Dharma Drum Institute of Liberal Arts. His research interests include analysis of translators of Chinese Buddhist texts, construction of digital archiving projects, development of digital humanities research resources, and the application of AI in Buddhist studies. 

Patrick McAllister received an MA in Philosophy from the University of Vienna in 2005, and a PhD from the Institute for South Asian, Tibetan and Buddhist Studies, University of Vienna, in 2011 (supervised by Helmut Krasser). He has been working at the Austrian Academy of Sciences’ Institute for the Cultural and Intellectual History of Asia since July 2016. While his primary research interest is the development of Buddhist epistemological theories during the 9th to 11th centuries (primarily in the works of Prajñākaragupta, Jñānaśrīmitra, and Ratnakīrti), he is also engaged in Digital Humanities. He significantly contributes to the conceptual, methodological and technical development of two resources: EAST, a tool to collect bibliographical and prosopographical information on the South Asian and Tibetan philosophical literature dealing with logic and argumentation. SARIT, a growing and dynamically developing library of Indic texts (mainly Sanskrit) which are encoded according to the TEI Guidelines. More recently, he has been working on “VEGEST—Vienna Encoding Guidelines for Editing Sanskrit Texts.”

ORCID: https://orcid.org/0000-0001-8043-7453

I am a researcher with a background in technology and Buddhist studies from Thailand, Japan, and the US. For nearly 15 years, I have been working in the Dhammachai Tipiṭaka project, overseeing every process from manuscript digitization to digital platform development and critical edition preparation. Currently, we are finding a way to leverage the power of AI and digital humanities to efficiently analyze vast amounts of Pali variant readings from four major traditions of palm-leaf manuscripts. This approach will significantly streamline the process of transcribing manuscripts, collating variants, editing texts, and creating critical apparatus, ultimately leading to a more accurate and comprehensive critical edition of the Pali Canon.

Sebastian Nehrdich is a tenure-track Assistant Professor at Tohoku University. He completed his PhD in Computational Linguistics at the University of Düsseldorf, co-supervised by Oliver Hellwig and Kurt Keutzer. He holds an MA in Buddhist Studies from the University of Hamburg. His work integrates digital philology, Buddhist textual analysis, and machine learning. He serves as Director of the Dharmamitra project that was founded at the Berkeley AI Research Lab (BAIR), has managed the ML infrastructure of the ChronBMM project, and has led the development of the BuddhaNexus platform 2018-2023.