The School, a one-day event, will take place on the day before the start of the Simposio de la Asociación Española de Economía (SAEe) in Valencia. The lectures will be given by Christopher Rauh (University of Cambridge) and Michael Weber (University of Chicago Booth School of Business on the...

The BSE Data Science Summer School provides an overview of the state-of-the-art tools employed in machine learning. "Foundations of Data Science" is an introductory course that provides a broad overview of the main methodologies used to analyze data in data science. "Using Text as Data: Methods...

In this two days workshop we want to bring together researchers working in two still quite separate fields, computational economics and experimental economics, which, however, in recent years have seen a steady increase of fruitful interaction. For example, the Handbook of Computational...

The Barcelona Economics Summer Schools offer one-week courses in Economics, Finance, Data Science, and related fields. This year's edition will take place from June 28 through July 16 and includes both online and face-to-face course offerings.

The Barcelona GSE Data Science Summer School introduces participants to some of the tools and methods of Data Science. Course list for 2021: - Foundations of Data Science; - Using Text as Data: Methods and Applications; - Deep Learning and Applications.

Barcelona Summer School 2020 has been cancelled.

The sixth biennial European Establishment Statistics Workshop (EESW19) is devoted to furthering the understanding of topics in designing, collecting, analysing and using statistics about and for businesses and other organisational entities. EESW19 is aiming to continue to be a prime European...

The Barcelona GSE Data Science Summer School introduces participants to some of the tools and methods of Data Science. Three courses will be offered in the Data Science Summer School: - Foundations of Data Science - Machine Learning in Social Sciences - Deep Learning and Applications

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...

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...