Across the social sciences, questions of causal inference are attracting increased attention, with researchers wanting to not only test associative hypotheses but uncover causal relationships between two or more variables. With social-science contexts often not lending themselves to classical...

The GESIS Spring Seminar (formerly ZA Spring Seminar) offers three consecutive one-week courses in advanced methods of quantitative data analysis for Social Scientists. Week 1: Fundamentals of Data Analysis with Python; Week 2: A Practical Introduction to Machine Learning in Python; Week 3:...

The GESIS Spring Seminar is targeted at advanced graduate or PhD students, post-docs, junior and senior researchers, who are interested in developing and improving their knowledge and skills in state of the art techniques in quantitative data analysis. The Spring Seminar will: - provide you with...

The GESIS Spring Seminar offers high quality training in state of the art techniques in quantitative data analysis taught by foremost experts of the field. Each year a specific topic guides the courses. The Spring Seminar aims to: - provide in depth knowledge of state of the art quantitative...

The lectures will be given by: - Prof. Dr. Ben Jann, University of Bern, Switzerland and Rudi Farys, University of Bern, Switzerland Causal Inference in the Social Sciences February 27 – March 2, 2012 - Prof. em. Dr. Peter Schmidt, Giessen University, Germany and Prof. Dr. Eldad Davidov,...