Econometrics in the Castle: “Machine Learning in Economics and Econometrics”
The workshop will be organized by the Max Planck Society and the University of Hamburg on May 29-30, 2018. It will take place in the Nymphenburg Palace complex in Munich.
The aim of the conference is to bring together economists, econometricians, statisticians and social scientists using big data methods for their applied and/or theoretical research. We welcome submissions related to all aspects of machine learning, including sparse modeling, Lasso, random forests, boosting, neural networks and deep learning, and applications in microeconomics, macroeconomics or related fields. Depending on the number of submissions, there might be a poster session as well.
Keynote speakers are Victor Chernozhukov (MIT) and Stefan Wager (Stanford).
The deadline for submission (complete paper or 2-3 page abstract) is January 31st, 2018. Preference will be given to complete papers. Please send your submission to firstname.lastname@example.org.
January 31st, 2018: Submission deadline
February 15th, 2018: Decision on paper submission
May 29th – 30th, 2018: Conference