I am a senior researcher and team leader at GESIS - Leibniz Institute for the Social Sciences, Department Computational Social Science in Cologne, Germany.
My research focuses on the uses and effects of digital media, digital trace data, computational methods, data management, open science, and meta-science. I frequently give workshops on topics related to quantitative and computational research methods and the statistical programming language R
, and have also taught classes in psychology and communication at both the graduate and undergraduate level.
You can also find me on Mastodon (@JohannesBreuer@fediscience.org) and BlueSky.
PhD in psychology, 2013
University of Cologne
Diplom (equivalent to MA) in media studies, 2007
University of Cologne
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Selected past workshops & seminars:
Workflows for Reproducible Research with R & Git (online workshop with Bernd Weiss and Arnim Bleier), November 16-17, 2023.
Introduction to Sentiment Analysis: Potentials and limitations (online workshop together with Caio Mello and Gaurish Thakkar), July 10, 2023.
Automatic Sampling and Analysis of YouTube Data (online workshop together with Annika Deubel and M. Rohangis Mohseni), February 14-15, 2023.
Using git & GitHub via RStudio (together with Marco Wähner), January 10, 2023.
Introduction to R for Data Analysis (online workshop together with Stefan Jünger and Veronika Batzdorfer), GESIS Summer School in Survey Methodology, August 15-19, 2022.
Linking Twitter & Survey data (online workshop together with Luke Sloan and Libby Bishop), June 27, 2022.
Reproducible research practices for psychologists (together with Frederik Aust), Leuven, April 27-28, 2022.
Ethische Fragen in der Forschung mit digitalen Spurdaten (Ethical questions in research with digital trace data), January 21, 2022.
Digitale Mediennutzung und Data Literacy (Digital Media Use and Data Literacy) (online seminar), Heinrich-Heine-University Düsseldorf, winter term 2021-2022.
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