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GESIS Training
GESIS - Leibniz-Institute for the Social Sciences

GESIS Training News

October 2017

Spring Seminar | Methodenseminar | Summer School | Workshops

Table of Contents

37th Methodenseminar 2017

The 37th Methods Seminar took place from 10 to 28 July 2017 at GESIS Cologne. All courses -- the well established as well as the two data science courses in English, one of them newly conceptualized -- were well received, as the results of the course evaluations show. The participants praised the close link between theory and practice as well as the structured approach to their own research projects. [Continue reading on facebook…]

Save the date for the 38th Methodenseminar taking place 09 to 27 July 2018.

The program will be announced by February 2018. Check our website.

6th GESIS Summer School in Survey Methodology 2017

The GESIS Summer School took place from 3 to 25 August 2017 at GESIS Cologne. 216 participants from all over the world took the opportunity and enjoyed high quality courses on methods and techniques of survey methodology, inspiring evening talks, great parties, and vibrant Cologne at Europe’s leading summer school in survey methodology. [Continue reading on facebook…]

If you could not make it this summer or want to come back, please save the date for the 7th GESIS Summer School in Survey Methodology that will take place August 02-24, 2018.

More information on the GESIS Summer School can be found here www.gesis.org/summerschool.

Stay tuned!

47th Spring Seminar 2018 – Registration is open!

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!

Call for Applications: GESIS Grants – Apply Now!

The call for applications for GESIS Grants is now open until October 31. GESIS Grants offer the possibility to collaborate closely with one of our GESIS staff members on a predefined project that may involve, for example, writing a scientific paper, working on a joint research proposal or planning an infrastructure project together to improve or expand GESIS services. During their stay, GESIS Grant holders are expected to actively participate in the academic activities of our institute. Applicants may apply for a stay between one week and three months in the period from March to December 2018.

Apply now! Further details on the eligibility criteria and application procedure can be found here!

Registration is open until October 31, 2017.

Training Courses in German, November 2017 - March 2018

Training Courses in English, November 2017 - March 2018

Contact:
GESIS – Leibniz Institute for the Social Sciences, Department Knowledge Transfer, GESIS Training, P.O. Box 12 21 55, 68072 Mannheim, training@gesis.org
Visit us at training.gesis.org
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