[AK.IPO] 48th GESIS Spring Seminar 2019 – Bayesian Modelling in the Social Sciences

[Mauk, Marlene]

*** Apologies for cross-posting ***

Dear Colleagues,

We are excited to announce the program of the 48th GESIS Spring Seminar 2019 in Cologne, Germany, from March 11 to March 29, 2019. Registration<https://training.gesis.org/?site=pDetails&pID=0x493AD51440DD4CECB999052AAD4D9CEC&lang=de_DE&lang=en_US> is now open.
The GESIS Spring Seminar comprises training courses for social scientists interested in advanced methods of quantitative data analysis. Three one-week courses can be booked either separately or as a block. For 2019, the Spring Seminar focuses on Bayesian Modelling in the Social Sciences.

Week 1 (March 11-15): Introduction to Bayesian Models for the Social Sciences<https://training.gesis.org/?site=pDetails&child=full&pID=0x493AD51440DD4CECB999052AAD4D9CEC&subID=0x78C3FFB389DE40089C05C1B78D181C91&lang=en_US>

Prof. Dr. Susumu Shikano, University of Konstanz, Germany

Dr. Taehee Kim, University of Oldenburg, Germany

Week 2 (March 18-22): Bayesian Structural Equation Modelling<https://training.gesis.org/?site=pDetails&child=full&pID=0x493AD51440DD4CECB999052AAD4D9CEC&subID=0x3D3BE23BA6FC458C877D35BDA8A00CD3&lang=de_DE&lang=en_US>

Prof. Dr. Rens van de Schoot, Utrecht University, The Netherlands

Dr. Milica Miočević, Utrecht University, The Netherlands

Week 3 (March 25-29): Bayesian Multilevel Modelling<https://training.gesis.org/?site=pDetails&child=full&pID=0x493AD51440DD4CECB999052AAD4D9CEC&subID=0x92D2E6AA13A1494082A3892370F499CB&lang=en_US>

Dr. Mark Andrews, Nottingham Trent University, United Kingdom

For registration as well as details on the individual courses, please visit our website<https://training.gesis.org/?site=pDetails&pID=0x493AD51440DD4CECB999052AAD4D9CEC&lang=de_DE&lang=en_US>.
Please feel free to forward this announcement to others who might be interested in our program.

We look forward to meeting you here in Cologne!

Best regards,
Marlene Mauk
Scientific Program Coordinator

**************************************
Dr. Marlene Mauk
Postdoctoral Researcher
EUROLAB / Gesis Training
GESIS – Leibniz Institute for the Social Sciences

+49 221-47694-579
marlene.mauk at gesis.org<mailto:marlene.mauk at gesis.org>
Unter Sachsenhausen 6-8, 50667 Cologne, Germany

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