The RITHMS project is disseminating interesting preliminary results.
This week, two members from the Coordinator's team of the Centre for Cultural Heritage Technology (CCHT Venice) delivered relevant presentations at the Conference on Computational Social Science (CS2Italy 2025), hosted by the Università di Trento.
Dr. Sara Ferro anticipated the main points of the forthcoming paper “Enriching Structured Data on Art and Antiquities through Natural Language Processing Models”.
Her presentation highlighted the potential of Natural Language Processing (NLP) models to transform unstructured data into structured, accessible knowledge in the art and antiquities field. This innovative approach supports social network analysis, offering valuable inputs into cultural goods trafficking.
Dr. Madison Leeson focused, instead, on the social network analysis (SNA) results showcased in the recent paper "War, Art, and Sanctions: Social Network Analysis on the NACP’s Databases of Sanctioned Russian Individuals and Art Collectors".
The study of the Russian elite network revealed the roles and relative influence of art collectors within the system. These findings contribute significantly to understanding social and economic dynamics.
Learn more about RITHMS outputs and publications on our page: https://rithms.eu/results