Birkholz, Julie; Börner, Ingo; Chambers, Sally; Charvat, Vera; Cinková, Silvie; Dejaeghere, Tess; Dudar, Julia; Ďurčo, Matej; Eder, Maciej; Edmond, Jennifer; Fileva, Evgeniia; Fischer, Frank; Heiden, Serge; Křen, Michal; Kunda, Bartłomiej; Mrugalski, Michał; Murphy, Ciara; Odebrecht, Carolin; Raciti, Marco; Ros, Salvador; Schöch, Christof; Šeļa, Artjoms; Tasovac, Toma; Tonra, Justin; Tóth-Czifra, Erzsébet; Trilcke, Peer; van Dalen-Oskam, Karina; van Rossum, Lisanne. “Computational Literary Studies Infrastructure (CLS INFRA): a project to connect people, data, tools, and methods” (poster). Digital Humanities Conference 2022 (DH2022). Tokyo, Japan, July 25-28, 2022.










Workshop-Session: “Thematic Analyses of Large Text Collections with Topic Modeling”, im Rahmen der Erasmus+ Gastdozentur, org. Rafal Gorski, Maciej Eder und Jan Rybicki, Jagiellonian University, Kraków, Polen, 29.03.-8.4.2016 (13×60 min.). – +Materialien







Expertenworkshop Quantitative Text Analysis for Literary History, with Maciej Eder, Jan Rybicki, Serge Heiden, Gerhard Lauer, Allen Riddell, org. Fotis Jannidis & Christof Schöch, DARIAH-DE, Universität Würzburg, 22-23 Nov 2012. – See also: Report.