Heidelberg Center for Digital Humanities - HCDH

@hcdh.bsky.social

DH-Zentrum mit Schwerpunkten auf Digital Heritage, Digital Linguistics, LLM-Forschung und Digitalität. Website: https://uni-heidelberg.de/de/hcdh/

Update aus dem HCDH! Unseren Hackathon zum Semesterstart nutzten wir zu einer Bestandsaufnahme mit Fokus auf einer Methodendiskussion und dem Abgleich unserer Toolchains. Ein tiefer Einblick in die Zukunft der Digital Humanities: 👉 hcdh.hypotheses.org/3695

Hackathon 25.03.2026

On March 25, 2026, Mayumi Ohta, Florian Nieser, Jonathan Gaede, Maria Becker, Jonas Braun, and Thomas Renkert gathered for another hackathon at the Heidelberg Center for Digital Humanities (HCDH). Thi...

hcdh.hypotheses.org

🪄 How to automate your work (completely): #AgentischeKI -Systeme boomen & bringen neue Chancen, aber auch kritische Aspekte. Der nächste Workshop der Reihe „ #KI in Anwendung“ von @hcdh.bsky.social&HSE nimmt die #Automatisierung von #Arbeitsprozessen in den Blick. 🗓️4.5. | 🕒14–15.30 | 📩 30.4. #eduBW

How to automate your work (completely) | Heidelberg School of Education

Ein Workshop zu agentischen KI-Systemen und Automatisierung in Wissenschaft, Bildung und Schule

hse-heidelberg.de

In a recent project and collaboration with fundamental Physics it could be shown, that it is possible and effective to incorporate an out-of-domain LLM in a simulation of astrophysical data consisting only of non-linguistic data. More informations on how this was achieved: arxiv.org/abs/2506.14757

Large Language Models -- the Future of Fundamental Physics?

For many fundamental physics applications, transformers, as the state of the art in learning complex correlations, benefit from pretraining on quasi-out-of-domain data. The obvious question is whether...

arxiv.org

In a recent project and collaboration with fundamental Physics it could be shown, that it is possible and effective to incorporate an out-of-domain LLM in a simulation of astrophysical data consisting only of non-linguistic data. More informations on how this was achieved: arxiv.org/abs/2506.14757

Large Language Models -- the Future of Fundamental Physics?

For many fundamental physics applications, transformers, as the state of the art in learning complex correlations, benefit from pretraining on quasi-out-of-domain data. The obvious question is whether...

arxiv.org

On 02.04.25, the third workshop of the series "We've got the data - what now?" took place, this time with an introduction to Corpus Analysis. Thanks to Jonathan Gaede & David Schatz for the successful workshop and thanks to all participants! Read the report here: hcdh.hypotheses.org/2827 #HCDH

“We’ve got the data – what now?”: Corpus Analysis

The third session of the workshop series “We’ve got the data – what now?” offered an introduction to corpus analysis. Jonathan Gaede, who prepared this workshop with David Schatz, guided participants ...

hcdh.hypotheses.org