ISlab.

ISLAB

INFORMATION SYSTEMS
AND KNOWLEDGE
MANAGEMENT


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ISLab is the research group on databases, information systems, and knowledge management of the Dipartimento di Informatica of the Università degli Studi di Milano.

DATA SCIENCE

NLP

DIGITAL HUMANITIES

EXPLAINABLE AI

COOL
THINGS WE DID

OUR TEAM

Silvana Castano

SILVANA CASTANO

Full Professor, ISLab Chair

Silvana Castano is Full Professor of Computer Science at the Department of Computer Science of the University of Milan, where she served as director from 2017 to 2023. She is Vice-Rector for Digital Transition and Artificial Intelligence at the University of Milan and a member of the Board of Direct…

Alfio Ferrara

ALFIO FERRARA

Full Professor

Alfio Ferrara is a Full Professor of Computer Science at the University of Milan, where he teaches Natural Language Processing, Reinforcement Learning, and IT Methodologies in the Humanities. A Philosophy graduate, he has always been interested and actively involved in digital humanities projects. H…

Stefano Montanelli

STEFANO MONTANELLI

Full Professor

Stefano Montanelli is professor of computer science at the Department of Computer Science of the University of Milan. He is a member of the Data Science Research Center and is Chair of the Master's degree program in Data Science for Economics and Health at the same university. He was the local coord…

Sergio Picascia

SERGIO PICASCIA

PhD Student

Sergio Picascia is a PhD Student at the Department of Computer Science. He graduated in 'Economics and Commerce' at the University of Naples Federico II, and in 'Data Science and Economics' at the University of Milan. During his studies, he also participated in the second edition of the Apple Develo…

Gaudenzia Genoni

GAUDENZIA GENONI

PhD Student

Gaudenzia is a Ph.D. student in the Department of Computer Science since October 2025. After completing her B.A. in Lettere at the University of Milan, she earned an M.Sc. in Data Science from the University of Trento. Her research interests include Natural Language Processing, Large Language Models…

Davide Riva

DAVIDE RIVA

PhD Student

Davide Riva holds a BSc in "Mathematical Engineering" and a MSc in "Data Science and Economics". After a research fellowship in which he worked on Legal Information Retrieval in the framework of NGUPP project, he entered the National PhD Program in Artificial Intelligence with a research line focuse…

Elisabetta Rocchetti

ELISABETTA ROCCHETTI

PhD Student

Elisabetta Rocchetti has been a PhD student since October 2023. She graduated in "Computer Science for New Media Communications" at the University of Milan. She completed her studies with a MSc in "Data Science and Economics", shifting her focus on data science and data analysis. In particular, she …

Darya Shlyk

DARYA SHLYK

PhD Student

Darya is a Ph.D. student at the Department of Computer Science. Graduated in "Economics and Management" at the University of Milan, she then gained her Master's degree in 'Data Science and Economics'. Darya joined ISLab research activity in September 2022 and is currently involved in the ERC founded…

Martin Ruskov

MARTIN RUSKOV

Researcher (2021-2025)

Studying how people interact, in the past (#CulturalAnalytics) and today (#EdTech #Crowdsourcing).

Davide Lamorte

DAVIDE LAMORTE

Research Fellow (2023-2025)

Davide is a research fellow at the Department of Historical Studies. He worked for more than 6 years in the field of Web Development in big companies and startups around Europe. He joined ISLab to bring his expertise to the team and help them show to the outside world the results of their research.

Vojimir Ranitovic

VOJIMIR RANITOVIC

Research Fellow (2024-2025)

Vojimir is a research fellow at the Department of Historical Studies. He holds a BSc in "Statistics, Informatics, and Quantitative Finance" from the Faculty of Economics, Belgrade, Serbia, and an MSc in "Data Science and Economics" from the University of Milan. Currently, he is involved in the PNRR_…

Francesco Periti

FRANCESCO PERITI

PhD Student (2021-2024)

Francesco Periti is currently a PhD Student at the Department of Computer Science, University of Milan (UMIL). He graduated from the University of Parma with a bachelor’s degree in Computer Science in 2018 and he finalized his master degree in Computer Science at the University of Milan in the summe…

WE DO RESEARCH

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VAST
VAST
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.
NGUPP
NGUPP
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.

AND WE MAKE APPS

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DS-Atlas
DS-Atlas
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
LIA
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.

WE WORKED WITH

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