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  Oftentimes the smartest infrastructure is the simplest one. Today at #DH2026, our lab member Steffi presents a poster on minimal computing in public DH and science communication, with @vji (FU Berlin). Their plea: make it static to make it last – but first ask what's worth keeping. (1/2)

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  Just like that, the #DH2026 week is over! Whether online or on-site in South Korea, it was truly wonderful to see the DH community come together around so many different projects, ideas, and people. We're grateful for all the interest and thoughtful feedback on our contributions. 🙏 A heartfelt thank you to the organizers for pulling off this huge international endeavour with such care. Now it's time to fight our way back into the old sleep rhythm – travel safe, everyone, &am...

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  Interested in characters, agency, narrative structure or reading performance across complete literary texts? Meet GermAnProse: four German short prose works, fully annotated for computational literary studies. Paper: https://aclanthology.org/2026.latechclfl-1.25/ Data: https://github.com/forTEXT/GermAnProse #DH #DigitalHumanities #CLS #prose

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  🌿 Three days of team retreat in Vienna: the fortext lab has been using the time away from the office to plan the coming year, talk about collaborations and collect ideas for new projects. Between all the planning, there was also plenty of time for coffee and snacks.

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  An exciting new semester lies ahead of us! This time, the fortext lab's teaching ranges from close reading crime fiction to discussing the operationalization of narratological concepts. Here's a brief overview:

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  📢 The Call for Papers for #CHR2027 is live! The 7th Conference on Computational Humanities Research takes place in Manchester, UK, 5–8 January 2027. The submission deadline is 14 August 2026 – mark your calendars and get your work in! 👉 https://2027.computational-humanities-research.org/cfp/ We're especially excited: Our lab director @EvelynGius will be chairing #CHR2027 together with Kaspar Beelen and Giovanni Colavizza! 🎉

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  Annotation in Seminaren - wie geht das eigentlich? Der erste Call for Papers der forTEXT Hefte zum Thema "Textannotation in der Hochschullehre" ist da. Wir freuen uns über eure Einreichungen! Mehr Informationen gibt es hier: https://fortext.tujournals.ulb.tu-darmstadt.de/site/cfp/ Updates folgen im Juli!

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  Die Mitte der Woche feiern wir heute mit unseren beiden neuen Themenheften 🎉:  Die Themenhefte "Korpusbildung" und "Textdigitalisierung und Edition" der forTEXT Hefte sind ab sofort hier verfügbar: https://www.fortext-hefte.de/issues/

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  #DH2024 is already in full swing and @JulianHaeussler already gave a lightning talk on our KatKit project at one of the workshops on Monday. Come to his long presentation on the project today at 10:30 in Van Metre Hall 134.

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  What a week! An insightful and exciting #DH2024 in Washington, D.C is over. We introduced our project KatKit (@gerstorfer, @JulianHaeussler, @EvelynGius with which we want to give food for thought on how category theory can be used for (literary) operationalization. Slides and more at: https://github.com/forTEXT/katkit_toolbox

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  📣 Einreichungen geöffnet Beiträge für das Themenheft "Textannotation in der Hochschullehre" können ab jetzt unter https://www.fortext-hefte.de/submissions/ eingereicht werden. Wir freuen uns auf eure Beiträge! Guidelines zur Einreichung gibt es hier: https://www.fortext-hefte.de/site/guidelines/ Das GitHub Template...

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  Last week, we took a little “break” in the Oberharz to reflect on the past six months and make some exciting new plans for the upcoming semester. We thought we'd share this beautiful backdrop with everyone: Wishing you all the best, fortext lab team!

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  We have published our KatKit toolbox! KatKit is all about using category theory for operationalization in Computational Literary Studies and wider Digital Humanities. Read more about it in our #DH2024 abstract. 🤖 Toolbox: https://tinyurl.com/katkittoolbox 📄 Abstract (pp. 208-211): https://tinyurl.com/dh2024boa

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  It’s alive! In our project „Animacy in German Folktales” we annotated animacy in a literary corpus and built a classifier. Results where just presented at the wonderful #CHR2024 in Aarhus, Denmark. Keep on reading for a brief summary of the key arguments. #DH #CLS @comphumresearch (1/6)

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  Last week was the first fortext lab-workshop of 2025! Twice a year, the entire fortext lab comes together for several days to look back on the past six months, reflect on our best practices for good collaboration, discuss our current research, and plan the next half-year. #CLS #DH #DigitalHumanities (1/4)

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  Last week @forTEXT lab members @EvelynGius and @JulianHaeussler, as well as fortext lab alum @SvenjaGuhr, spend two intense and insightful days at #CCLS2025 in beautiful Krakow, Poland. Looking forward to the future of #CLS! @jcls

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  What can students of #ComputationalLiteraryStudies and #DigitalHumanities at #TUDarmstadt expect in the coming months? A brief overview of the fortext lab's teaching activities: (1/4)

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  Last week, we held a small but intensive workshop in Darmstadt on how literary history and computation can go together. The talks either adapted traditional literary concepts for computational analysis or introduced new digital approaches. (1/3)

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  Are you still looking for an approach to teaching network analysis in higher education? #DigitalHumanities #DH #DHTeaching #DHPedagogy (1/3)

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  📢 Reminder – The forTEXT journal's Open Call is still live! We’re looking for German-language teaching concepts on text annotation in higher education. Deadline: Oct 31 👉 https://journal.fortext.org/site/cfp/ (1/3)

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  Last week we got together in Darmstadt for one of our two big yearly meetings – the other being the lab retreat, which we reported on in September. Like at the retreat, we spent some time reflecting on the past half year and our achievements, as well as our teamwork. (1/2) #DigitalHumanities

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  Good research needs strong scientific communities! That's why earlier this week, fortext lab members @EvelynGius Stefanie Messner and @JulianHaeussler attended the CRETA-Werkstatt. A gathering of the Center for Reflected Text Analysis (@cretaverein). (1/4)

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  We are very excited to announce the publication of our forTEXT issue on text annotation in higher education. It brings together tried-and-tested, reusable teaching concepts in German centred on the method of text annotation in the humanities. 👉 https://www.fortext-hefte.de (1/4)

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  The forTEXT journal team is thrilled to announce: The first articles of our first Special Issue on Reflected Text Analysis, edited by guest editors @axelpichler and @nilsreiter, are available now at: https://journal.fortext.org/issues/ (1/3)

 #DH #DHTeaching #DHPedagogy

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  Next stop: Daejeon, South Korea! 🌏 The fortext lab is excited to join #DH2026 with three contributions sharing insights from our current Digital Humanities research. (1/3) #DigitalHumanities #ComputationalLiteraryStudies #DH #CLS

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  In this week’s project seminar, Steffi from our team shared a peek at her PhD project, which explores the question: What shapes literary histories as texts? (1/3)

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  We are currently compiling a collection of German-language climate fiction novels. So we have a question for the community: Which texts come to mind for you? #climate-change-fiction #CLS #ecocriticism #climate-fiction #digitalhumanities #cli-fi #germanliterature #climate-change (1/2)

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  Some of us will be heading to Vienna next week for this year's #DHd2026 conference. We are looking forward to learning about current DH projects! Our team will be presenting a talk on measurement in DH and participating in the poster session with the forTEXT journal: (1/4)

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  This week, part of our team attended #DHd2026 in sunny Vienna — it was a joy to meet the community, exchange ideas, and present some of our current work 👇 (1/4)

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  Our paper (see co-authors in the thread), "Computational hermeneutics: evaluating generative AI as a cultural technology", is now out in Frontiers in Artificial Intelligence: https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1753041/full We argue that generative AI systems should be understood and evaluated as cultural, interpretive technologies — not just predictive models. That shift has implications for how we design benchmarks, involve...