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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"