Schöch, Christof. “Computational Genre Analysis”. The Dragonfly’s Gaze. Marseille: Open Edition, 2022. URL: https://dragonfly.hypotheses.org/1219.
∞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.
∞Julia Röttgermann (presenting author), Maria Hinzmann (presenting author), Katharina Dietz, Henning Gebhard, Anne Klee, Johanna Konstanciak, Christof Schöch, Moritz Steffes: “Mining and Modeling Spaces and Places for Literary History as Linked Open Data”. Digital Humanities Conference 2022 (DH2022). Tokyo, Japan, July 25-28, 2022. – Abstract: https://doi.org/10.5281/zenodo.6948192. Slides: https://doi.org/10.5281/zenodo.6916198.
∞Representative for DHd-Verband and President-elect, Constituent Organization Board (COB), Alliance of Digital Humanities Organizations (ADHO), 2022-2023. – URL: https://adho.org/.
∞Christof Schöch, Julia Dudar, Keli Du: “Zeta and Company. Investigating Measures of Distinctiveness for Computational Literary Studies” (Gastvortrag). Oberseminar Computerlinguistik, org. Stephanie Evert, FAU Erlangen-Nürnberg, 13. Juli 2022 (online).
∞Christof Schöch: “Abgeleitete Textformate”. AG Recht und Ethik in Text+, 8. Juli 2022 (online). – Slides: https://dh-trier.github.io/textformate/#/.
∞Milica Ikonić Nešić, Ranka Stanković, Christof Schöch and Mihailo Skoric (accepted). “From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)”. 8th Workshop on Linked Data in Linguistics: Revisiting a Decade of Linguistic Linked Open Data (LDL 2022), colocated with LREC. Marseille, June 24, 2022. – URL: https://www.softconf.com/lrec2022/LDL/.
∞
Ikonić Nešić, Milica, Ranka Stanković, Christof Schoch, and Mihailo Skoric. “From ELTeC Text Collection Metadata and Named Entities to Linked-Data (and Back).” In Proceedings of The 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France: European Language Resources Association, 2022. https://aclanthology.org/2022.ldl2022-1.2.
∞Mitglied | Member, Nutzerbeirat, Georg-Eckert-Institut (2022-2026). – URL: http://www.gei.de/.
∞Keli Du, Julia Dudar, Christof Schöch: “Evaluation of measures of distinctiveness: Classification of literary texts on the basis of distinctive words”. 1st Annual Conference for Computational Literary Studies. Darmstadt, June 1-2, 2022. – URL: https://jcls.io/site/conference/.
∞Christof Schöch: “Zeta and Company: Words and Beyond Words”. Priority Programme Computational Literary Studies General Meeting. Darmstadt, May 31 2022. – URL: https://dfg-spp-cls.github.io/2022/04/26/GeneralMeeting.html.
∞Reviewer, Czech Science Foundation (GACR), Czech Republic. – 2022.
∞Conference: Distant Reading Closing Conference, org. Christof Schöch, Maciej Eder and Jan Rybicki. Jagiellonian University, Krákow, Poland / online, April 21-22, 2022. – URL: https://www.distant-reading.net/events/conference-programme/.
∞Christof Schöch and Maciej Eder: “What a difference five years make: achievements and challenges of Distant Reading for European Literary History”. Distant Reading Closing Conference, Krákow / online, April 21-22, 2022. – Slides: https://distantreading.github.io/closing/.
∞Christof Schöch: “Sentence length across ELTeC collections and Gutenberg Fiction”. Distant Reading Closing Conference, Jagiellonian University, Krákow / online, April 21-22, 2022. – Slides: https://christofs.github.io/krakow22/
∞Christof Schöch, Evgeniia Fileva, Julia Dudar: Baseline Methodological User Needs Analysis (=D 3.1). CLS INFRA / Zenodo, 2022. – DOI: 10.5281/zenodo.6389332.
∞Christof Schöch, Maria Hinzmann, Julia Röttgerman, Anne Klee, Katharina Dietz: “Smart Modeling for Literary History”. International Journal of Humanities and Arts Computing (IJHAC) 16.1, 2022, 78-93. (Special issue on Linked Open Data.) – DOI: 10.3366/ijhac.2022.0278.
∞Keli Du, Julia Dudar, Cora Rok, Christof Schöch. “Kontrastive Textanalyse mit pydistinto – Ein Python-Paket zur Nutzung unterschiedlicher Distinktivitätsmaße” [Poster]. In: DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands “Digital Humanities im deutschsprachigen Raum” (DHd2022), hg. Michaela Geierhos, Peer Trilcke, Ingo Börner, Sabine Seifert, Anna Busch und Patrick Helling. Potsdam, 2022. DOI: 10.5281/zenodo.6327966.
∞Maria Hinzmann, Christof Schöch, Katharina Dietz, Anne Klee, Katharina Erler-Fridgen, Julia Röttgermann, Moritz Steffes. “Linked Open Data für die Literaturgeschichtsschreibung – Das Projekt Mining and Modeling Text” [Poster]. In: DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands “Digital Humanities im deutschsprachigen Raum” (DHd2022), hg. Michaela Geierhos, Peer Trilcke, Ingo Börner, Sabine Seifert, Anna Busch und Patrick Helling. Potsdam, 2022. DOI: 10.5281/zenodo.6328036.