This is the main course website for the seminar Critical Data Studies in summer term 2026 at University of Bayreuth.
To view results of past participant's projects, go here: https://mircoschoenfeld.de/results-and-posters-of-the-seminar-critical-data-studies.html
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Syllabus¶
The collection and analysis of big data now influences all aspects of our lives. Critical Data Studies (CDS) explores the cultural, ethical, and socio-technical challenges at the intersection of computer science, humanities, social science, and society. Students critically explore topics such as Artificial Intelligence, Big Data, data science, data ethics, privacy, fake news, and discuss how data systems and algorithms can contribute to help solve societal problems.
Participants develop their own scientific questions and work on them in small groups during the semester.
In this course, students learn the main theoretical and methodological principles of critical data studies and they will be able to apply these methods to their own research projects. After successful participation in this seminar, students will be able to realize, based on an own project, the transfer between a scientific research question and methods of critical data studies.
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