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.


The Math of Stem Cells
Triggered by a challenging biological problem, Hugo Lavenant, Assistant Professor at Department of Decision Sciences and BIDSA Affiliate, has developed innovative mathematical models for stem cell differentiation.
Daniele Durante Awarded by the Italian Statistical Society
The Assistant Professor has been awarded for the first edition of the prize assigned to early-career scholars, under the age of 40, for the contributions to the Statistical Sciences.
How to Improve Vaccines Communication
A study by Trento province health service, BIDSA Bocconi and ThatMorning reveals the differences between the social communication styles of the pro vax and the no vax. More storytelling and reassuring tones would help the case for vaccines.
Zoom webinar
27/05/2021 h.17.00
BIDSA Webinar: "Veridical Data Science for biomedical discovery: subgroup discovery through staDISC"
BIDSA Webinar Spring Series 2021: Bin Yu, UC Berkeley Statistics, EECS, CCB