Christof Schöch, Julia Dudar and Evgeniia Fileva, eds. (2023). Survey of Methods in Computational Literary Studies (= CLS INFRA D3.2: Series of five short survey papers on methodological concerns). With contributions by Joanna Byszuk, Julia Dudar, Evegniia Fileva, Andressa Gomide, Lisanne van Rossum, Christof Schöch, Artjoms Šeļa and Karina van Dalen-Oskam. Trier: CLS INFRA. – URL: https://methods.clsinfra.io/ · DOI: 10.5281/zenodo.7782363. 
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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