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Machine Learning &
Human Sciences

This one-day workshop is part of the CDS workshop series Machine Learning + X and is the first event in the field of human sciences. The workshop is jointly organized by the Center for Data and Simulation Science (CDS) and the Faculty of Human Sciences (HumF).

Date: 10 Juli 2026, 09:00 – 14:30 (tentative time window)

Location: Seminar Building, Room 0.04 (Conference Room )

Organization: Center for Data and Simulation Science (CDS) and the Faculty of Human Sciences (HumF)

Contact

Tentative Schedule

09:00 – 09:15Welcome  
09:15  – 10:00Keynote Talk by Benjamin PetersTowards understanding real-world dynamic object vision in brains and machines”Benjamin Gagl
10:00  – 10:15Coffee Break 
10:15  – 11:00Keynote Talk by Debora Gerstenberger & Nora ProbstMachine Learning and the Humanities - perspectives from History and Media Culture”Torsten Meyer
11:00  – 11:10Short Break 
11:10  – 12:10Poster Pitches Lea Saßmannshausen
12:10  – 12:30Group Photo   
12:30  – 14:30Poster Session & Finger Food  

Current List of Poster Contributions

In alphabetical order

Jan Frederik Bossek Lebenswelten Jugendlicher und der Umgang mit KI (LeJuKI)  
Benjamin GaglUsing experimental methods from cognitive science to investigate tokenization in large language models 
Daria LisovojEvaluating performance of probabilistic inference models: A machine learning approach 
Torsten MeyerEntangling AI - Wie und warum (generative) KI in ästhetischen Bildungsprozessen eine Rolle spielen kann und soll
Janos PauliA Neuro-Cognitive Model Of Prototypical Letter Recognition
Jan PetersModel-based approaches in decision neuroscience and computational psychiatry
Elisa Porth
Clara Roth
Jutta Stahl
Decoding Errors from Human Brain Activity Using Multivariate Pattern Analysis
Anna SprengerAI4ArtsEd - Artificial Intelligence for Arts Education
Alexander ThammKI als Textrater: Können Schüler:innentexte automatisiert bewertet werden? 
Nicole VetterWissenstransfer an der HF und Phil - Impulse, Beratung, Vernetzung  
Christina VollmertFeeling the Algorithm: Vibe Coding as Aesthetic and Epistemic Practice 
Jonas WeyersErprobung von KI zur automatisierten Auswertung offener Testantworten im Lehrer:innen-Bildungsmonitoring
Anne Irena WeitzelLarge Language Models Provide a Solution to Large-Scale Semantic Similarity Measurement in Psychological Research 
Lea Wieben
Matthias Proske
Die Entwicklung eines KI-basierten Tools für die Unterrichtsvorbereitung von Lehrkräften

Information for poster contributors

  • Preferred poster format: A0 in portrait orientation 
  • The poster boards are in portrait format and can display posters up to A0
    (If your poster is in landscape, it may be difficult to display it properly, but not impossible)