Machine Learning for Economics

The workshop will run for 2 days and will take place on June 17-18, 2019 in Barcelona. 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 explore applications of data science in their work. The purpose of this workshop is to provide the opportunity for economists to interact with leaders in data science to explore problems of mutual interest.

Confirmed participants include

• Ivan Fernandez Val (Boston University)
• Stephane Bonhomme (University of Chicago)
• Yusuke Narita (Yale University)
• Piotr Zwiernik (UPF and BSE)

Workshop organizers

• Petros Dellaportas (University College London and the Alan Turing Institute)
• Stephen Hansen (University of Oxford and the Alan Turing Institute)
• Omiros Papaspiliopoulos (ICREA-UPF and BSE)
• Martin Weidner (University College London and the Alan Turing Institute)