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.