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
  "Urban Ambience"
• 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"