Our aim is to promote and conduct theoretical and applied research that addresses challenging issues arising from the analysis of large-scale datasets and the modeling of the underlying complex phenomena. We are building a community of high-profile scholars to bridge the gap across Data Science disciplines and support the training of the new generation of data scientists by providing them with advanced statistical, mathematical and computational skills.


How to Summarize Graphs and Hypergraphs
Luca Trevisan has recently published an article about how to summarize these data structures in order to save memory and computational time while preserving their characteristic features.
Dirk Hovy wins an ERC Starting Grant
Dirk Hovy, Scientific Director of DMI and Associate Professor of Computer Science, has won an ERC Starting Grant.
Daniele Durante wins the Leonardo Da Vinci Medal
Daniele Durante has won the Leonardo Da Vinci Medal, awarded by the Italian Ministry of Education, University and Research to the best scientific contributions by junior researchers.
Two Generations of Bayesian Statisticians in a Bocconi BayesLab Webinar Series
The new BIDSA Research Unit on Bayesian Statistics will host an online seminar series in which outstanding young researchers have the opportunity to present their work and get discussion from toplevel senior scholars.