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AI-based Methods for the Humanities

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September 23, 2025  09:00 - September 24, 2025  17:30

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Anders Søgaard, Ingo Scholtes, Seid Muhie Yimam, John Pavlopoulos, Matteo Valleriani, Oliver Eberle

Advancing AI Research in the Humanities: A Workshop for Scholars at the Intersection of Digital Humanities and Machine Learning

The intersection of artificial intelligence (AI) and the humanities is an emerging frontier for research, promising transformative approaches to understanding and modeling historical, cultural, and linguistic phenomena. This workshop invites scholars and practitioners from diverse disciplines to explore innovative AI-based methodologies that address core challenges in the humanities. The goal is to foster dialogue, share methodological developments, insights, and propose new paradigms for using AI in humanistic research, emphasizing both interpretability and application.

The workshop will be held in Berlin from September 23 to 24, 2025. It is organized around four thematic sessions, each focusing on specific methodological approaches and their potential applications to evolving processes. Particular emphasis is therefore placed on the subject of time and temporality. Temporal aspects—whether in modeling historical change, dynamic cultural systems, or the evolution of language—are especially relevant and are prioritized across all four areas of interest. By centering time as a key axis, the workshop seeks to encourage submissions that delve into not only static patterns but also processes, transformations, and trajectories, as well as the challenges associated with evaluating and verifying AI-based insights.

Conversation beyond academia

To open the conversation beyond academia, the workshop is framed by two events open to academia and the public.

Effizient aber korrupt? Verwaltung im 17. und 21. Jahrhundert, untersucht mit KI

  • Date: 22.09.2025
  • Start: 4:45 pm
  • Venue: Einstein Center Digital Future (ECDF)

Christoph Sander will present his research on “EFFIZIENT ABER KORRUPT? Verwaltung im 17. und 21. Jahrhundert, untersucht mit KI” followed by a comment by Jan Mendling (HU Berlin) and a discussion. Please note the format is in German. [More details].

BIFOLD Colloquium 10/2025

  • Date: 25.09.2025
  • Start: 4:00 pm
  • Venue: TU Berlin, March Str.

Ingo Scholtes discusses "Machine Learning for Complex Networks: From GNNs to Causal Graph Learning": Apart from graph data that capture which of a system's elements are connected, we increasingly have access to high-resolution time series data that captures when and in which order those connections occur. Due to the arrow of time, the temporal order of those connections shapes the causal topology of dynamic graphs, i.e. which nodes can possibly causally influence each other over time. This leads to non-trivial effects that must be accounted for in graph analytics and (deep) graph learning. [...] Please note the format is in English. [More details].

Workshop Organizers

The workshop is organized by Prof. Dr. Matteo Valleriani (Max Planck Institute for the History of Science, BIFOLD Fellow), Dr. Oliver Eberle (Machine Learning research group BIFOLD) and Dr. Laura Wollenweber (Scientific Coordinator Strategy, BIFOLD).

Please find all information on the workshop website.