From messy data to actionable visualizations: Building automated tools to make sense of complicated governance situations - the case of Ukrainian refugee crisis

In GaaP project we aim to use digital platforms to improve the coordination of actors involved in refugee management in the canton of Zurich. During the first phases we collected heterogeneous data (qualitative interviews, media analysis, surveys) that describe, among other things, diverse interconnections between involved actors. The goal of this master thesis is to extract an actor network visualization  to make sense of complicated governance situations.   

If you are interested in the topic and think you are the right person to get involved, contact us:

Aleksandra Garazha