International workshop on Machine Learning and Digital Humanities

Contact and enrolment: David Lassner “last-name” “at” tu “minus” berlin “dot” de

Place and Time

July 19th - July 23rd 2021 at TU Berlin
The workshop will take place in the MAR building in the room 0.016.

This is planned to be an in-person event. Participants should be cured, fully vaccinated or tested each day before coming. There is a test center on campus and also one near Zoologischer Garten on the corner of Jebensstraße and Hertzallee.

Registrations are accepted first come first serve.


This workshop is intended to be suitable for DH scholars who are interested in ML and MLers who are interested in DH and will include topics such as text analysis, image analysis, interpretability of ML models and bias of ML models and data sets. Usually, each day consists of invited talks in the morning and hands-on sessions after lunch.
TU students may choose the workshop as an elective course for ML2 or CA. TU students cannot take this course as a stand-alone module.

(Preliminary) Schedule

Morning Afternoon
10:00 Opening
David Lassner
13:00 Introduction to Machine Learning
Klaus-Robert Müller
10:05 Introduction to DH
Anne Baillot
14:05 Round of Introductions
11:10 - 12:00 ML and History exemplified by Image Analysis of Heraldry
Torsten Hiltmann
14:30 - 16:00 Projects Kick-Off
10:00 Mathematical concepts of ML
Thomas Schnake
13:00 Historical Persian NER
Zahra Salmani and Razieh-Sadat Mousavi
11:15 - 12:00 Natural Language Processing in the Digital Humanities
David Lassner
13:15 - 16:00 Excercise NLP and DH
19:00 Evening Event (Biergarten)
10:00 Introduction to the Sphaera Project
Matteo Valleriani
13:30 - 16:00 Exercise Images and Interpretability
10:15 Node Embeddings in Early Modern Edition Networks
Hassan el-Hajj
10:25 Deep Similarity Learning on Sphaera and Numismatics
Jochen Büttner
11:15 - 12:00 Interpretability
Oliver Eberle
10:00 Bias in DH
David Lassner
13:30 - 16:00 Exercise Bias in DH
11:00 - 12:00 How to Debias Word Embeddings
Stephanie Brandl
10:00 Project Presentations
11:30-12:00 General Discussion, Conclusion

Course Material
The presentations are in the following repositiory: