I worked on a dataset of documents from “Deutsch-französische Kunstvermittlung”, which present texts published in German and French journals between 1870 and 1940, on Franco-German art mediation and art education. I worked on an approach to extracting huge quantities of illustrations from historical art journals, classifying them, visualising them, and thinking about their general physical position in the journals, relying on data science methods. The work served as an exploratory study on ways to reuse research data in art history, specifically the entries of the database. The workflow established started from the digitzed journals, included automatic detection, classification, and (re) identification of artworks, using neural networks and computational studies.

After the internship, I am pursuing my master thesis at EPFL, working on the public opinion of europeans about technology after the second industrial revolution, through newspapers and computational means.