from historical Data to AI

Interdisciplinary workshop for students & doctoral candidates in digital humanities, medieval studies and computer science

When: Friday, 24. October & Saturday, 25. October 2024

Where: Interdisciplinary Centre for the Middle Ages and Early Modern Period (IZMF), University of Salzburg

Erzabt-Klotz-Straße 1, 5020 Salzburg, Austria

Registration: via email to dh@plus.ac.at until 12. October

Organisation: Walter Brandstätter (FB Geschichte, PLUS Salzburg), Karoline Döring (FB Geschichte, PLUS Salzburg), Julia Hintersteiner (MHDBBD/FB Germanistik, PLUS Salzburg) und Katharina Zeppezauer-Wachauer (MHDBDB/FB Germanistik, PLUS Salzburg).

Students and doctoral candidates need practical skills in the field of artificial intelligence in order to actively shape the future of research. However, access to interdisciplinary projects that combine historical data with AI technologies is often limited. This is exactly where our workshop steps in!

What can be expected?

Practical Experience:Application of AI to historical data using the practical examples of the MHDBDB (University of Salzburg) and the LLM ParzivAI (University of Heidelberg).

Interdisciplinary Exchange: Collaboration between students and doctoral candidates from Salzburg and Heidelberg to strengthen cooperation between the data-driven medieval studies programmes at both universities.

Cross-disciplinary skills: Acquisition of skills in digital humanities, medieval studies and computer science.

Insight into research: Understanding how AI-supported data analysis works and what potential it offers.

Doctoral students at the University of Salzburg are eligible to earn ECTS credits for their doctoral degree.

Programme:

Lecture on AI-Literacy by Christopher Pollin (Graz/DHCraft): “Trust us, We’are Frontier-LLMs”. Be the Critical-Expert-in-the-Loop: Perspectives on AI Literacy

Hackathon: Joint data analysis with data from the MHDBDB and LLM ParzivAI to discover new insights

Presentation: Documentation of the results of the joint data analysis

Networking-opportunities: Exchange and networking for students, doctoral candidates and researchers

Take the opportunity to engage in interdisciplinary research, make new contacts and expand your skills in the field of AI! If you are interested in participating, we look forward to receiving your registration by 12 October via dh@plus.ac.at !

DH Salzburg CLARIAH-AT Early Career Förderungen