Recent years have witnessed a growing interest in applying computational methods to the study of culture, as demonstrated by the creation of dedicated conferences and journals such as the Journal of Cultural Analytics, or the Computational Humanities Research journal and annual conferences. Deep learning approaches, in particular, have opened new possibilities in terms of building, querying and modelling large cultural datasets (texts, videos, images...). In this respect, in collaboration with the Master of Digital Humanities (École nationale des Chartes), the PSL Culture Lab is organizing a satellite event of the 2026 Humanistica Conference which will be focused on computational sciences of culture.
This two-day workshop aims at providing a space to share ideas and experiences on studying cultural artefacts with computational methods, and hopes to showcase the diversity of this field through oral presentations, lightning talks, and a poster session. Topics of interest include but are not limited to:
Building and annotating cultural datasets using AI and deep learning approaches;
Theory-driven humanities research, simulations and generative models;
Document-based modelling of historical and social processes;