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GESIS - Leibniz-Institute for the Social Sciences
GESIS Training

GESIS Training News

June 2020

Spring Seminar | Methodenseminar | Summer School | Workshops

Table of Contents

Restrictions in our program due to the Coronavirus

The GESIS Training Team is very concerned about the health of participants and lecturers of our courses. For this reason we deliver our trainings as digital events up to and including end of September 2020. We plan to continue our event program with on-site training courses after this date. If this is not possible, we go on working on alternative virtual courses. Furthermore, it cannot be ruled out that further events will have to be cancelled. In case an event has to be cancelled or you do not wish to participate in an online course, we will of course refund all participation fees. However, we cannot refund any further costs resulting from the cancellation. More information here.

Stay well, stay safe, and enjoy the summer despite all restrictions!

1st Virtual GESIS Methods Seminar – Register Now!

We are happy to announce the final program of the 40th GESIS Methods Seminar that will take place from 14 September – 02 October 2020. For the first time since it was established, the Methods Seminar will take place online as a virtual methods school. Three courses in German introduce the basics of uni- and bivariate statistics as well as different regression models as used in the social sciences and digital humanities. The courses in English cover methods and techniques for big data – such as Machine Learning or Text Mining – using R or Python. These seminars should be interesting to all data scientists, social scientists, and researchers in the digital humanities that collect and analyze data from the web, social media, or digital text archive.

Acquire new skills in our live real time seminars via Zoom. Interact, learn, discuss, and network with teachers and fellow participants through live meetings, Q&A sessions, breakout rooms, consulting hours, and chats.

The following courses are offered in 2020:

Methoden der sozialwissenschaftlichen Statistik (in German):

Uni- und bivariate Statistik mit Stata (14 – 18 September)

Prof. Dr. Sebastian Schnettler, Andreas Filser (University of Oldenburg)

Einführung in die Regressionsanalyse mit Stata (21 – 25 September)

Prof. Dr. Michael Gebel (University of Bamberg), Dr. Jonas Voßemer (Umeå University, University of Bamberg)

Einführung in die Panel- und Mehrebenenanalyse mit Stata (28 September – 02 October)

Prof. Dr. Reinhard Schunck (University of Wuppertal), Prof. Dr. Janna Teltemann (University of Hildesheim)

Methods of Computational Social Science (in English):

Introduction to Python for Social Scientists (14 – 15 September)

Dr. Arnim Bleier, Indira Sen (GESIS, Germany)

Introduction to Data Science with Python (16 – 18 September)

Dr. Arnim Bleier, Dr. Fabian Flöck, Dr. Juhi Kulshrestha (GESIS, Germany)

Introduction to Social Network Science with Python (21 – 25 September)

Dr. Haiko Lietz, Lisette Espín Noboa, Olga Zagovora (GESIS, Germany)

Text Mining with R (28 September – 02 October)

Dr. Andreas Niekler (University of Leipzig), Dr. Gregor Wiedemann (University of Hamburg)

Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne, participants of the Methodenseminar may earn 2 European Credit Transfer System (ECTS) points per course for active participation.

Book now! For more information on the Methods Seminar, visit www.gesis.org/methodenseminar

1st Virtual GESIS Summer School – Secure the last few places!

The 9th GESIS Summer School in Survey Methodology will take place from 29 July to 21 August 2020. For the first time since it was established in 2012, the GESIS Summer School will take place online as a virtual summer school. 11 courses are scheduled, among them 3 short courses and 8 one-week courses. New and redesigned courses include “Research Designs and Causal Inference”, “Applied Systematic Review and Meta-Analysis”, and “Mixed Methods and Multimethod Research”.

Join lecturers and participants from all over the world and from many different fields in meeting online to take part in Europe's leading summer school in survey methodology, research design, and data collection. Don’t miss the opportunity to master advanced techniques of data collection and statistical data analyses with renowned international experts in our live real time seminars via Zoom!

Below, you can find an overview of this year's courses:

Week 0 (29 - 31 July):

Introduction to Stata for Data Analysis

Nils Jungmann, Anne-Kathrin Stroppe (GESIS, Germany)

Research Designs and Causal Inference

Prof. Dr. Stefanie Eifler, Dr. Heinz Leitgöb (Catholic University of Eichstätt-Ingolstadt, Germany)   

Week 1 (03 - 07 August):

Questionnaire Design

Prof. Dr. Marek Fuchs (Darmstadt University of Technology, Germany)

Introduction to R for Data Analysis

Dr. Johannes Breuer, Dr. Stefan Jünger (GESIS, Germany)

Mathematical Tools for Social Scientists: A Refresher Course with R

Prof. Dr. Oleg Nenadic (Nord University Bodø, Norway)           

Week 2 (10 - 14 August):

Introduction to Survey Design

Prof. Dr. Bella Struminskaya (University of Utrecht, The Netherlands), Dr. Ulrich Krieger (University of Mannheim, Germany)

Applied Multiple Imputation

Dr. Ferdinand Geißler (Humboldt University Berlin, Germany), Dr. Jan Paul Heisig (WZB Berlin Social Science Center, Germany)

Applied Systematic Review and Meta-Analysis (Short Course)

Dr. Jessica Daikeler (GESIS, Germany), Sonila Dardha (University of London, United Kingdom)

Week 3 (17 - 21 August):

Survey Sampling and Weighting

Dr. Simon Kühne (Bielefeld University, Germany), Jannes Jacobsen (Humboldt University of Berlin, Germany)

Designing, Implementing, and Analyzing Longitudinal Surveys

Dr. Tarek Al Baghal (University of Essex, United Kingdom), Dr. Alexandru Cernat (University of Manchester, United Kingdom)

Mixed Methods and Multimethod Research

Prof. Dr. Ingo Rohlfing (University of Cologne, Germany)

ECTS Credits & More

Thanks to our cooperation with the Center for Doctoral Studies in Social and Behavioral Sciences, University of Mannheim, participants can obtain a certificate acknowledging a workload worth 4 ECTS credit points per one-week course (24hrs or 30hrs). Participants in courses with 24 hours of classes per week are asked to submit a paper of 6000 words. Participants in courses with 30 hours of classes per week are asked to submit a paper of 5000 words.

Registration deadline is 08 July 2020.

Register now! Even if a course is fully booked, it is worth to sign in the waiting list. You will find more information here.

GESIS Workshops moved online until September – Book now!

We moved our workshops scheduled until the end of September online. Is Multiple Imputation (MI) a topic you always wanted to get into? Or are you interested in the description and analysis of life courses and longitudinal processes in general (e.g., with time-use data)? Or would you like to specify and estimate multi-level models independently in Stata? Then check out our virtual workshops on these topics. The Training Team hopes to offer on-site trainings again starting from October and we have a lot of interesting topics on the agenda for you as for example how to collect diverse types of Twitter data and analyze them. Or do you want to have a closer look on how to plan and implement online surveys?

Due to the currently constantly changing situation due to Covid-19, there is a possibility that workshops may have to be held online at short notice.

For the full list of courses we have on offer, see below.

Training Courses in German, July – December 2020

Training Courses in English, September – December 2020

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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