We are excited to announce the 47th GESIS Spring Seminar 2018. The GESIS Spring Seminar comprises three training courses for social scientists interested in advanced techniques of data analysis and in the application of these techniques to data. Each course includes lectures and exercises. The lectures explain the logic of models and the corresponding analysis strategies in detail. During the exercises participants are given the opportunity to apply these methods to data. The courses can be booked either separately or jointly.
Don’t miss out the opportunity to learn advanced techniques of statistical data analyses with renowned international experts.
Week 1 (February 19-23): Multilevel Analysis
Prof. Ian Brunton-Smith, PhD, University of Warwick, UK
Week 2 (February 26 - March 2): Spatial Analysis and Spatial Econometrics
Prof. Jude C. Hays, PhD, University of Pittsburgh, USA
Asst. Prof. Scott J. Cook, PhD, Texas A&M University, USA
Week 3 (March 05 - 09): Longitudinal Network Analysis Using RSiena
Prof. Tom A.B. Snijders, PhD, Universities of Groningen, NL and Oxford, UK
Dr. András Vörös, ETH Zürich, Switzerland
Thanks to our cooperation with the Cologne Graduate School in Management, Economics and Social Sciences of the University of Cologne, doctoral students can obtain 3 ECTS credit points per one-week course. There is no registration deadline, but in order to secure a place in the course of your choice and to book affordable accommodation, we strongly recommend that you register as soon as possible.
The detailed syllabi are available now. Please sign up here!