The primary area of interest is digital humanities and cultural heritage. However, some of the methodologies developed — such as language analysis and machine learning applied to literary texts — are also being tested in other fields, including smart cities and agri-food. The research is strongly interdisciplinary, emphasizing the development and reuse of best practices and open-source tools tailored to the relevant domains.
New approaches to the preservation and valorization of digital data are explored, and innovative methodologies, tools, and solutions are devised to ensure interoperability and reusability across different kinds of users.
The expertise of the IT core team includes tools, methodologies, and techniques for Natural Language Processing, Machine Learning, Information Retrieval, and Knowledge Modeling.
