For the academic year 2019-2020 the following Master's students have been selected, based on academic track record, motivation and thesis topic:
- Nicholas Burman, Comparative Cultural Analysis
- Bea Caesar, Art Studies
"Corte Malandra and performances of resistance. Memory, agency and spatialization"
- Maike Dahrendorf, Psychology
"Using idiosyncratic networks to identify early warning signals for depression"
- Marianne de Heer Kloots, Artificial Intelligence and Brain and Cognitive Sciences
"Between sound and meaning in neural networks"
- Izabele Jonušaitė, Brain and Cognitive Sciences
"Attitude Dynamics as Bayesian Belief-updating Under Active Inference"
- Lea Lösch, Social Science
"The social representations of the placebo effect"
- Jan Schröter, Computational Science
"Socio-economic impacts of urban morphologies using complex systems methodology"
- Esra Solak, Computational Science
"An SD Model for the Dynamic Interaction between Disease Progression and Accelerated Aging in Persons with Alzheimer's Disease"
- Dirk Zomerdijk, Computational Science
"Agent-based model for the functioning of society as a system of individuals of different socio-economic positions leading to status anxiety"