Category Archives: GESIS

GESIS Fall Seminar in Computational Social Science 2021

Dear readers of PhD Network,

We are excited to announce the program of the GESIS Fall Seminar in Computational Social Science 2021, held virtually from 13 September to 01 October 2021.

The GESIS Fall Seminar targets social scientists, data scientists, and researchers in the digital humanities that want to collect and analyze data from the web, social media, or digital text archives. Organized along two parallel tracks, it offers six one-week courses on computational social science methods and techniques using either R or Python. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. All courses are held in English.

Computational Social Science with R

Introduction to Computational Social Science with Applications in R (13-17 September)
Dr. Aleksandra Urman, University of Bern / University of Zurich (Switzerland)
Max Pellert, Medical University of Vienna / Technical University of Graz (Austria)
Automated Web Data Collection with R (20-24 September)
Dr. Theresa Gessler, University of Zurich (Switzerland)
Hauke Licht, University of Zurich (Switzerland)
Social Network Analysis with R (27 September-1 October)
Dr. Silvia Fierăscu, West University of Timișoara (Romania)
Ianis Rușitoru, West University of Timișoara (Romania)

Computational Social Science with Python

Introduction to Computational Social Science with Python (13-17 September)
Dr. Orsolya Vásárhelyi, University of Warwick (United Kingdom)
Luis Natera, Central European University Budapest (Hungary)
Web Data Collection and Natural Language Processing in Python (20-24 September)
Indira Sen, GESIS (Germany)
Dr. Arnim Bleier, GESIS (Germany)
Julian Kohne, GESIS (Germany)
Dr. Fabian Flöck, GESIS (Germany)

A Practical Introduction to Machine Learning in Python (27 September-1 October)
Assoc. Prof. Damian Trilling, University of Amsterdam (Netherlands)
Assist. Prof. Anne Kroon, University of Amsterdam (Netherlands)

Courses will be held online via Zoom 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. To secure a place in the course(s) of your choice, we strongly recommend that you register early. Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne, participants of the GESIS Fall Seminar can obtain 2 ECTS credit points per one-week course.

For detailed course descriptions and registration, please visit our website and sign up here!

For further training opportunities, have a look at our Summer School in Survey Methodology and workshop program.

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7th GESIS Summer School in Survey Methodology, August 2018

The program of the 7th GESIS Summer School in Survey Methodology is online and registration is open. The Summer School 2018 will be held from August 2 to 24 at GESIS in Cologne, Germany.

15 courses are scheduled, among them 5 short courses and 10 one-week courses. New to the program are courses on “Pretesting Survey Questions”, “Applied Multiple Imputation”, and “Open Science and FAIR Data”. The courses “Mixed-Mode and Mixed-Device Surveys“ and “Web Survey Design” return to the Summer School program after a break.

Here is an overview of the courses on offer this year:

Short courses (August 02 – 03):

  • Pretesting Survey Questions (Meitinger/Lenzner)
  • Introduction to Data Analysis Using Mplus (Blümke/Lechner/ Danner)
  • Research Designs and Causal Inference (Eifler/Leitgöb)
  • Introduction to Data Analysis Using Stata (Schunck/Pforr)

Week 1 (August 06 – 10):

  • Introduction to Survey Design (Lugtig/ Struminskaya)
  • Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus (Reinecke/Kessler)
  • Introduction to Data Analysis Using R (Kolb/ Murray-Waters)
  • Applied Multiple Imputation (Geißler/Heisig)

Week 2 (August 13 – 17):

  • Questionnaire Design (Fuchs/Metzler)
  • Mixed-Mode and Mixed-Device Surveys (Toepoel/de Leeuw/Klausch)
  • Web Survey Design (Couper/Schaurer)

Week 3 (August 20 – 24):

  • Meta-Analysis in Social Research and Survey Methodology (Weiß/Daikeler)
  • Sampling, Weighting, and Estimation (Eckman)
  • Design and Implementation of Longitudinal Surveys (Al Baghal/Cernat)
  • Open Science and Open Data (Netscher/Perry/Schwickerath)

Thanks to our cooperation with the Graduate School of Economic and Social Sciences, CDSS of the University of Mannheim, participants can obtain up to 4 ECTS credit points per one-week course.

In addition to courses, we have prepared a number of plenary and social events including evening talks by experts in Survey Methodology, weekly welcome receptions as well as cultural and social excursions.

There is no registration deadline, but in order to secure a place in the course(s) of your choice and to book affordable accommodation, we strongly recommend that you register as soon as possible.

Scholarships by the German Academic Exchange Service (DAAD) via CDSS as well as the European Survey Research Association (ESRA) are available to Summer School participants.

You will find more information about the scholarships available on our website.