Biography

I am a senior researcher in the team Survey Data Augmentation at GESIS - Leibniz Institute for the Social Sciences (Department Survey Data Curation) in Cologne, Germany, and (co-)lead the team Research Data & Methods at the Center for Advanced Internet Studies (CAIS) in Bochum, Germany.

My research focuses on the uses and effects of digital media, data linking (esp. linking surveys with digital trace data), data management, and open 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 find me on Mastodon: @JohannesBreuer@fediscience.org

Selected past workshops & seminars:

• Automatic Sampling and Analysis of YouTube Data (online workshop together with Annika Deubel and M. Rohangis Mohseni), February 14-15, 2023.

• Tools and Workflows for Reproducible Research in the Quantitative Social Sciences (online workshop with Bernd Weiss and Arnim Bleier), November 17-18, 2022.

• 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.

• Twitter-Daten mit R (Twitter Data with R) (short demo as part of the online workshop Twitter Tools - Collecting, processing, and analyzing data), May 13, 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.

• Introduction to Survey Data Cleaning Using Tidyverse in R (online workshop together with Stefan Jünger), ESRA 2021, July 22, 2021

• Working with the Facebook Ad Library, GESIS Data Day 2020, Cologne, January 23, 2020.

Disclaimer: All the following information should be read as “to the best of my knowledge”. I am not a website expert. I can only tell you about my intentions and the measures I took to protect the privacy of visitors to my website.

Collection of your personal information

Nothing on this website requires you to identify yourself.

The website does not use cookies. Note: Most web browsers allow you to control the handling of cookies.

I have set the Hugo Privacy options so that all third-party services, including Google Analytics, should be disabled on this website.

Sharing of your personal information

As I do not collect your personal information there is nothing I can share.

Acknowledgment: To optimize the privacy settings on my website and for the wording of this privacy notice I have followed the solutions proposed in a blog post by Ross Gayler.