Research
Data School conducts scientific and applied research on current issues in society. We focus on trends and developments in online public discourse and the responsible use of data and (AI) algorithms in the public sector.
Partners and collaborations
Our civil society partners play a central role in our research. By engaging – and staying engaged – with our partners from the media industry, journalism, and government agencies, we can timely identify questions and developments in the workplace. In addition, our civil society partners have an important role in developing, testing, and implementing practical tools and instruments resulting from our research, such as DEDA, DEDA for Media, FRAIA and the Performance review for AI.
Research methods
Researchers at Data School have different disciplinary backgrounds and use a wide variety of research methods, ranging from quantitative methods such as network analysis and language classification to qualitative methods such as ethnographic reporting and interviews. In choosing one or more methods, we are guided by the question at hand. Regularly, we also look at a question from different disciplinary perspectives. In this way, our research is often multi- or interdisciplinary. When in-house knowledge is lacking, we involve other experts from the university. This is how Data School connects the university and society.
Impact
We believe it is important that research insights gained in the field are made public through reports and scientific publications. In this way, we reach the widest possible audience and our research has a direct impact on practices at home and abroad.