This booklet brings together findings from the block seminar “Learning to Analyze Museum Data,” which was held by Lukas Fuchsgruber in the winter semester of 2021/22 at the TU Berlin. The seminar took the format of a hackathon, during which students, with the help of software, came up with a research question and generated findings using existing or newly researched data. The main objective was to learn how to use data and to gain a first taste of working with it, while collecting, analyzing, and visualizing data.
To prepare, students found and documented existing projects based on data processing in order to then develop their own projects. They formed three groups, which dealt with the overarching topics of feminism and gender, the art market, and provenance research.
The booklet was edited and designed by the student staff of the
Museum and Society project, Meryem Coskun and Julia Reidy, using design elements from Visual Intelligence.
It is published in a small print run and can be downloaded as a PDF here:
Museumsdaten analysieren. Beispiele und Prototypen (PDF, 7 MB)