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.


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.
BIDSA Affiliates receive IBM Faculty Award
BIDSA Affiliates Christoph Feinauer and Carlo Baldassi received the IBM Faculty Award, a competite worldwide program to foster collaborations between researchers from leading universities and IBM
Early Lockdown Measures Are Our Best Weapons Against Covid
BIDSA Fellow Emanuele Borgonovo and Xuefei Lu, University of Edinburgh, studied the importance of time to intervention in the COVID-19 outbreak in a paper combining a standard epidemiological model, machine learning techniques and sensitivity analysis.
Counting the Invisible
Estimating the number of war victims through incomplete reports is a challenging statistical problem that Giacomo Zanella has tackled from both a theoretical and a computational point of view.