Data Science is the profession of today and the future, as it seeks to provide meaningful information from processing, analysing and interpreting vast amounts of complex and heterogeneous data. It combines different fields of work, such as Mathematics, Statistics, Economics, and Information...

This workshop invites cutting edge research that tries to forecast rare negative events using quantitative methods of evaluating risk. We explicitly invite researchers from all fields, inside and outside of academia and using methods spanning from expert opinion to machine learning. The goal of...

The past ten years has seen an explosion of interest in large and heterogeneous datasets and the statistical and computational techniques needed to handle them. Most of the innovation in this area has come in statistics and computer science departments, but recently economists have also begun to...

In this two days’ workshop we want to bring together researchers working in two quite separate fields, computational economics and experimental economics, which yet have seen a steady increase of fruitful interaction in the recent years. Topics include the understanding of the emergent dynamic...

This course covers methods designed to deal with prediction with “big data” in macroeconomics, and to conduct structural analysis. The three main subjects of the course are: - predictive regressions with big data ; - Bayesian VARs, as a popular example of big data multivariate models, which...

This workshop will provide an opportunity for academic and central bank economists to discuss a wide range of theoretical and empirical issues regarding macroeconomic models and their applications to policy analysis. Modelling issues of particular interest include: expectation formation,...