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Welcome to GSERM 2015

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The Global School in Empirical Research Methods welcomes PhD students and postdocs from partner and non-partner institutions, and from the University of St. Gallen.

The Global School in Empirical Research Methods (GSERM) at the University of St.Gallen, Switzerland, is a new and high-calibre 2-week integrated programme teaching methodology for PhD students and postdocs from leading universities all over the world.

GSERM offers an attractive course-based learning atmosphere on different aspects of empirical research. Participants can choose from different courses offered as block seminars by internationally renowned lecturers.

The Global School in Empirical Research Methods (GSERM) is a new flagship programme on methodology at the University of St.Gallen. First initiated in 2013 under the lead of Academic Directors Prof. Dr. Andreas Herrmann and Prof. Dr. Michael Lechner,  GSERM offered 12 high-quality intense block seminars for PhD students and postdocs taught by renowned international faculty.

Due to the enormous success of GSERM in 2014 with 225 international participants and overwhelming positive feedback,  GSERM will expand in 2015.

Our Latest News

Additional course: Regression I from 1-5 June 2015

Additional course: Regression I from 1-5 June 2015


Due to the high demand we offer an additional course (4 ECTS credits) in Regression 1 with Tim McDaniel from 1-5 June 2015. Please apply through our online registration portal. Regression II and Regression III can be booked in the 2 weeks following. Please see our revised course directory for exact dates.

Winter school in Oslo / Norway

Winter school in Oslo / Norway


Due to the overwhelming success of SSERM we proudly announce the forthcoming Winter School in Empirical Research Methods taking place in Oslo / Norway in January 2016. In co-operation with our partner BI Norwegian Business School we will offer 6 key courses in research methods:

  • Regression I
  • Regression II
  • Experimental Design for Behavioral Science
  • Analysis of Mediated and Moderated Effects
  • Mixed Methods
  • Bayesian Data Analysis

The courses will take place from 11 – 22 January 2016.  For more information or application please check our website as from 1 September 2015!