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Jelke Bloem is an Assistant Professor at the University of Amsterdam in the Department of Media Studies, specializing in Computational Humanities. His main research interest revolves around developing research methods and digital tools that employ statistical techniques from the field of artificial intelligence, applied to humanities research questions. This includes both quantitative and qualitative human evaluations. Bloem has worked extensively on questions related to linguistics and the history of ideas, utilizing computational methods. His academic journey includes a postdoctoral project focusing on Computational History, where he explores the significance of ideas throughout time. He completed his Ph.D. with research on learner modeling in language contact, particularly on the syntax and structure of verb clusters within the Dutch-Frisian continuum. His scholarly contributions have been presented at various national and international conferences, addressing topics such as semantic variation in language, consistency in natural language processing, and the implications of word order in historical linguistics.
University of Amsterdam • Amsterdam
Research and teaching in the field of Computational Humanities, focusing on artificial intelligence and statistical methods applied to humanities research.
Includes departments like Economics, Business Administration, Finance, and Marketing.