Leveraging Multimodal Image Embeddings for Danish Golden Age Painting
Co-sponsored by the Berkeley Institute for Data Science, the School of Information, and the Department of Scandinavian.
Ongoing work on benchmarking vision-language models and using them and object detection for art historical research into canonicity and national romanticism styles in Northern Europe.
Space is limited. Submit the application form to request an invitation.
Speakers
Alie Lassche
Alie Lassche is a postdoctoral researcher at the Center for Humanities Computing, Aarhus University, with a Ph.D. in history from Leiden University. She uses computational, quantitative and statistical methods to trace the development of literary culture and the dissemination of information, primarily in early modern Europe. Her work pays particular attention to communities that were historically marginalized or considered peripheral, whether for geographical, social, political, or religious reasons.
Marta Kipke
Marta Kipke is a postdoctoral researcher at the Center for Humanities Computing, Aarhus University, working on the Golden Matrix project. She has a Ph.D. in digital humanities from the Georg-August-University Göttingen, a thesis about computational painter attribution in Attic vase paintings, specifically the epistemic value of feature space exploration. Generally, her research interests lie in the computational analysis of overarching visual phenomena, such as style or aesthetics, and on visual reference systems.
Rie Schmidt Eriksen
Rie Schmidt Eriksen is a Ph.D. fellow at the Center for Humanities Computing, Aarhus University.