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GESIS Training
GESIS - Leibniz-Institute for the Social Sciences

GESIS Training News

December 2021

Spring Seminar | Summer School | Fall Seminar | Workshops

The year is coming to an end. It was another year that we mastered well, despite all challenges. We will use the upcoming holiday season to recharge our energy for the following year. We wish you and your loved ones a relaxing holiday season and a happy, healthy, and prosperous new year.

We very much appreciate your support, suggestions, and feedback, and wish you all the best for 2022. We hope to see you online next year and again in Cologne or Mannheim at one of our events.

Your GESIS Training team

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 training as virtual events until April 2022 or longer. We hope that the Covid-19 situation allows us to return to on-site courses again as soon as possible. However, as some of you have let us know that they prefer digital courses altogether, in the future, we will supplement our on-site program with digital formats. More information here.

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

GESIS Spring Seminar 2022: Simulation Techniques in the Social Sciences – Still places available

The 2nd Virtual GESIS Spring Seminar offers high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. In 2022, all courses will deal with simulation techniques in the social sciences and beyond. It targets advanced graduate or PhD students, post-docs, junior and senior researchers. Extensive hands-on exercises and tutorials complement lectures in each course with applications to both simulated and real-world data. All classes are held in English. The Spring Seminar 2022 will take place 07 - 25 March 2022.

Week 1 (07 - 11 March):

Agent-based Modeling

Prof. Dr. Andreas Flache; Carlos de Matos Fernandes; Tanzhe Tang   

Week 2 (14 - 18 March):

Policy Modeling

Dr. Corinna Elsenbroich; Prof. Dr. Petra Ahrweiler   

Week 3 (21 - 25 March):

Using Simulation Studies to Evaluate Statistical Methods

Dr. Tim P. Morris; Dr. Matteo Quartagno   

Courses will be held online (via Zoom) and must be booked separately – whether you wish to attend one, two, or all of them. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Our cooperation with the Cologne Graduate School in Management, Economics and Social Sciences at the University of Cologne allows enrolled doctoral students to obtain three ECTS credit points per one-week course. For registration and detailed course descriptions, please visit our website!

GESIS Workshops 2022 – Tailored to your needs

Compared to GESIS's other formats, the workshops provide one- to three-day courses throughout the year. We provide workshops on all levels of expertise, starting with introductory courses up to the advanced level on data analysis, computational social science, and survey methodology. The workshops offer a cross-section of almost the entire spectrum, which empirical social scientists need. Next year, we are looking forward to courses in survey methodology, digital behavioral data, data analysis with quantitative and qualitative methods, and courses on statistical software. Our workshops are offered in German and English and are online and at both GESIS locations in Mannheim and Cologne. A list of the confirmed workshops for the first half of 2022 you will find below. However, keep an open eye as we complete our program. Thus it is worth visiting our website for updates and following us on Twitter.

More information on the GESIS workshops you will find here.

GESIS Summer School in Survey Methodology 2021

A successful tradition has been continued for the tenth time. For the second time, Europe’s leading summer school in survey methodology took place online via Zoom from 28 July to 20 August 2021. Over 270 participants from the international academic community took part in a series of excellent virtual courses on methods and techniques of survey methodology. Fourteen courses were scheduled, including four short courses and ten one-week courses. The program combined introductory and advanced courses, aiming to suit the preferences and needs of a broader academic audience. Keeping pace with the new trends in survey methodology, seven courses were new or wholly redesigned: “Using Directed Acyclic Graphs for Causal & Statistical Inference,” “(Non-) Probability Samples in the Social Sciences,” “A (Short) Course on (Short) Scale Development,” “Mixed-Methods and Multimethod Research,” “Collecting and Analyzing Longitudinal Social Network Data,” “Pretesting Survey Questions,” and “Design and Implementation of Web Surveys.” Participants evaluated the courses... [Continue reading on facebook…]

If you could not make it this summer, please save the date for the next edition – 04 to 26 August 2022 – ideally on-site at GESIS Cologne.

For more information on the GESIS Summer School, visit www.gesis.org/summerschool.

Stay tuned!

GESIS Fall Seminar in Computational Social Science 2021

2021 marked a new beginning for GESIS Training events: Waving goodbye to the Methods Seminar after 40 successful years, we proudly introduced the GESIS Fall Seminar in Computational Social Science, held for the first time from 13 September to 1 October 2021. It offered six one-week courses on computational social science methods and techniques using either R or Python along two parallel tracks. Both tracks were designed to allow participants to go “from zero to hero” in just three weeks, starting with general introductory courses before moving on to more specialized topics in data collection, organization, and analysis. [Continue reading on facebook…]

Save the date: The GESIS Fall Seminar 2022 will take place from 5 to 23 September 2022 – if the pandemic permits it, on-site at our new GESIS premises in Mannheim. The entire program will be announced in Spring 2022.

Interview with Prof. Dr. Lea Ellwardt (University of Cologne)

Sengewald Lea is Heisenberg Professor of Sociology at the University of Cologne. She obtained her PhD from the ICS at the University of Groningen in the Netherlands, where she spent eight years as a doctoral and postdoctoral researcher. Since 2014, she has been teaching research design to doctoral candidates from various disciplines, including the social sciences. Her substantive area of research covers social networks, aging, and organizations. She has used primarily quantitative methods and published her work regularly in renowned journals. She will teach the workshop on “Research Design in the Social Sciences,” starting 4 Feb 2022. This workshop is a recurring event that extends over four days, spread over seven weeks.

How did you become interested in your subject?

Already during my undergraduate studies in Sociology, I became fascinated with methods of empirical social research. This interest manifested further during my eight years at the ICS at the University of Groningen, which has a strong background in quantitative methods. I was lucky enough to plan and execute a primary data collection as part of my PhD training. Ever since, I have been intrigued by questions concerning research design.

What lessons can participants draw from your GESIS course?

How to plan and anticipate all relevant stages of a (PhD) research project. How to ensure that good questions are asked, and good answers to these questions may be found. Importantly, research design is more than methods: It comprises any aspects related to empirical research involving primary or secondary data, from a systematic literature review to an ethically responsible report.

What do you enjoy most about being a social scientist?

The versatility with which social scientists can choose a topic of interest that is equally relevant to both scientists and stakeholders. Insights from theories and findings may contribute to understanding and explaining any societal phenomenon. It is great to see that empirical work from social scientists has gained more and more recognition in the broader public.

We thank Lea for her interesting insights and look forward to her classes.

Training Courses in English

  
02-04/02/22OnlineIntroduction to R for Quantitative Social Science
(Dr. Ranjit Konrad Singh; Dr. Adrian Stanciu)
04/02/22 (consecutive)OnlineResearch Design in the Social Sciences
(Prof. Dr. Lea Ellwardt)
16-18/02/22OnlineApplied Multiple Imputation
(Dr. Kristian Kleinke)
21-22/02/22OnlineAutomatic Sampling and Analysis of YouTube Data
(Dr. Johannes Breuer; Julian Kohne; Dr. Rohangis Mohseni)
04-05/04/22MannheimCausal Mediation Analysis
(Dr. Michael Kühhirt)
03-06/05/22OnlineApplied Data Visualization
(Dr. Paul C. Bauer)
04-06/05/22MannheimIntroduction to Event History Analysis
(Prof. Dr. Jan Skopek)
17-19/05/22MannheimEgocentric Networks: Theory, Methods, and Applications
(Dr. Lydia Repke)
23-24/05/22MannheimData Management, Advanced Programming and Automation using Stata
(Daniel Bela)
23-24/06/22CologneComparative Research with Confirmatory Factor Analysis/SEM
(PD Dr. Daniel Seddig)
27/06/22OnlineLinking Twitter & Survey Data
(Dr. Johannes Breuer; Dr. Libby Bishop; Prof. Dr. Luke Sloan)

Training Courses in German

28/02-01/03/22OnlineGrounded Theory Methodology
(Prof. Dr. Günter Mey; Paul Sebastian Ruppel)
07-09/03/22OnlineFragebogenentwicklung und -pretesting
(Dr. Cornelia Neuert; Dr. Timo Lenzner; Dr. Silke Schneider)
15-18/03/22OnlineEinführung in die logistische Regression
(Dr. Hannes Kröger)
28-29/03/22OnlineEinführung in die Programmierung von Websurveys
(Jan Marquardt; Frauke Riebe)
30-31/03/22OnlineEinführung in die Analyse von Mehrebenen-Strukturgleichungsmodellen mit Mplus
(Prof. Dr. Elmar Schlüter)
28-29/04/22CologneEinführung in uni- und bivariate Datenanalyse
(Dr. Lisa Schmid; Theresa Nutz)
29/06-01/07/22CologneGrundlagen und aktuelle Debatten der Regressionsanalyse
(Prof. Dr. Michael Gebel; Dr. Jonas Voßemer)
08-09/08/22MannheimGrounded Theory Methodology
(Prof. Dr. Günter Mey; Paul Sebastian Ruppel)
11-12/08/22MannheimQualitative Interviews - Theorie und Praxis
(Prof. Dr. Günter Mey; Paul Sebastian Ruppel)
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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