GESIS Training News

The year is ending. A year like never before with a lot of challenges we all have to master. The upcoming winter break will help us gather strength. A relaxing holiday season and a happy, healthy and successful new year for you and your loved ones.

We very much appreciate your support, suggestions and feedback, and wish you all the best for 2021. We hope to see you online next year and again in Cologne or Mannheim in 2022 at one of our events.

Your GESIS Training team

We are looking back at our Methods Seminar in its anniversary year which held online this year from 14 September to 02 October 2020 for the first time ever. While it was a new format, lacking the face-to-face exchange we are all so used to and experienced with, we were excited but well prepared with our lecturers to take on this challenge. Our three courses on ‘Methoden der sozialwissenschaftlichen Statistik’ in German for basic and advanced methods taught the theoretical backgrounds and empirical methods that are vital to applied social sciences. Participants enjoyed these courses because they offer a well-prepared training in empirical methods and applications in Stata. Our four English courses on ‘Methods of Computational Social Science‘ (CSS) introduced up-to-date methods in data science for social scientists. [Continue reading on facebook…]

Save the date for the 41st Methods Seminar taking place virtually in September 2021.

The full program will be announced in Spring 2021.

A successful tradition has been continued for the ninth time but for the first time Europe’s leading summer school in survey methodology took place online via Zoom from 29 July to 21 August 2020. Over 220 participants from the international academic community took part in a series of excellent virtual courses on methods and techniques of survey methodology. 11 courses were scheduled, among them three short courses and eight main 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 new and redesigned courses included “Research Designs and Causal Inference”, “Applied Systematic Review and Meta-Analysis”, and “Mixed Methods and Multimethod Research”. Participants evaluated the virtual courses... [Continue reading on facebook…]

If you could not make it this summer, please save the date for the next 2nd online edition – 28 July to 20 August 2021.

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

Stay tuned!

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 virtual events until the end of 2021. We plan to continue our event program with on-site training courses after this date. More information here.

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

The 50th GESIS Spring Seminar 2021 will be held virtually from 1 to 19 March 2021. Across the social sciences, questions of causal inference are attracting increased attention, with researchers wanting to not only test associative hypotheses but uncover causal relationships between two or more variables. With social-science contexts often not lending themselves to classical experimental designs, recent years saw the development of advanced methodological approaches to investigate such causal relationships from observational data, and the advent of big data has brought forward further methodological advances in relation to machine learning. In 2021, the GESIS Spring Seminar will address these developments and offer three courses on causal inference.

Week 1 (March 01 - 05): Causal Inference and Experiments

Asst. Prof. D.J. Flynn, IE University Madrid (Spain)

Week 2 (March 08 - 12): Causal Inference in Observational Studies

Dr. Krisztián Pósch, University College London (United Kingdom)

Thiago R. Oliveira, London School of Economics (United Kingdom)

Week 3 (March 15 - 19): Causal Machine Learning

Asst. Prof. Dr. Michael C. Knaus, University of St. Gallen (Switzerland)

Gabriel Okasa, University of St. Gallen (Switzerland)

Courses will be held online and can be booked either separately or as a block. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with the Cologne Graduate School in Management, Economics and Social Sciences at the University of Cologne, doctoral students can obtain 3 ECTS credit points per one-week course.

For registration, please visit our website and sign up (if it is already fully booked, please sign in the waiting list) here!