BIDSA
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.

News&Events

Synthesizing Big, Wide and Dirty Data to Predict Election Outcomes
An Applied Social Science problem inspired Professor Omiros Papaspiliopoulos, new BIDSA Fellow, to investigate new scalable Bayesian computation strategies.
Zoom webinar
15/04/2021 h.17.00
BIDSA Webinar: "Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method"
BIDSA Webinar Spring Series 2021 - Sam Hopkins
Navigating Uncertainty: Why We Need Decision Theory During a Pandemic
Massimo Marinacci and Valentina Bosetti investigate how modern Decision Theory can assist policymakers in critical times such as the Covid19 crisis in a paper co-authored by the Nobel Laureate Lars Peter Hansen.
Zoom webinar
25/03/2021 h.17.00
BIDSA Webinar: "Streaming k-PCA and concentration for random matrix products"
BIDSA Webinar Spring Series 2021 - Jonathan Niles-Weed

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