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. – URL (book of abstracts): https://dh2022.dhii.asia/dh2022bookofabsts.pdf (see page 624–627).
∞Christof Schöch, Evgeniia Fileva, Julia Dudar: Baseline Methodological User Needs Analysis (=D 3.1). CLS INFRA / Zenodo, 2022. – DOI: 10.5281/zenodo.6389332.
∞Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften | Zeta and Company. Measures of Distinctiveness for Computational Literary Studies (DFG, 2020-2023, Teilprojekt im SPP 2207, Computational Literary Studies). Leitung: Christof Schöch. Koordination: Keli Du. Mitarbeitende: Julia Dudar, Cora Rok, Evegnia Fileva. – Website – Referenzpublikation.
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