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.


ROOM 3.E4.SR03
02/05/2019 h.16.30
“It doesn't matter where you start, but where you end; Perspectives on education and career pathways from collaborative biostatisticians.”
BIDSA Professional Development Seminar with Todd DeWees (Mayo Clinic) and Isabella Zaniletti (University of Missouri)
ROOM 3.E4.SR03
17/04/2019 h.12.30
BIDSA Seminar: "Probabilistic symmetry and invariant neural networks"
BIDSA Seminar Series Spring 2019 - “Probabilistic symmetry and invariant neural networks” - Yee Whye Teh, University of Oxford
2019 IGIER - BIDSA Visiting Students Initiative (VSI) Call for Candidates
IGIER and BIDSA invite students in the MSc in Economic and Social Sciences and in Data Science and Business Analytics who are interested in pursuing a research career to join the two research centers
ROOM: 3.E4.SR03
21/03/2019 h.12.30
BIDSA Seminar: "Informed sub-sampling MCMC: Approximate Bayesian inference for large datasets"
BIDSA Seminar Series Spring 2019 - “Informed sub-sampling MCMC: Approximate Bayesian inference for large datasets” - Nial Friel, University of Dublin