The VAST project involves an international team of researchers and it aims to discover and rediscover the foundational values of Europe and European Union, such as human dignity, freedom, democracy, equality, and tolerance. The history of these values is analyzed within VAST, throughout a variety of sources in space and time, ranging from ancient greek tragedies to modern drama, from folktale narratives, and from philosophic work of the Seventeenth Century up to contemporary museum researches. In the VAST project, methodologies and digital tools are integrated in a seamless platform with the contribution of both humanists and computer scientists. The ultimate goal is to support teachers and educational institutions to increase the citizen's awareness about the identity roots of the European Union.

The Next Generation UPP project is a PON GOV project funded by the Italian Ministry of Justice with the aim of improving the performance of judicial offices in northwestern Italy. The project proposes to experiment with new collaborative schemes between universities and judicial offices in order to offer court staff cross-cutting skills to ensure the effective functioning of a modern judicial system and to provide support for the process of digitization and technological innovation. The project involves numerous universities and judicial offices in the north-west and consists of activities to survey and enhance judicial offices in terms of both management processes and the creation and adoption of targeted software tools.

The "Atlas of Data Science Research" (DS-Atlas), an interactive visualization tool designed to study the landscape of the DS field. The DS-Atlas is built on a dataset of approximately 1.3 million scientific publications from the Elsevier Scopus database, leveraging Natural Language Processing, Large Language Models, and dimensionality reduction techniques to generate a semantic representation of the DS research. The DS-Atlas provides interactive operations to explore the dataset by allowing users to focus on specific areas, filter by keywords and/or time periods, and uncover thematic connections and research trends.

LIA (Law Innovation Assistant) is an advanced AI tool for legislators designed to prevent contradictions when amending complex laws. By analyzing legal codes, it identifies all relevant articles related to a specific topic or proposes the necessary amendments to achieve a legislative goal (e.g., repealing a regulation). This ensures new legislation is consistent and well-integrated with the existing legal framework. LIA's core function is to reduce the risk of legislative conflicts, thereby improving the quality and effectiveness of parliamentary work and increasing the transparency of the legislative process.