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People

We are a group of socially-engaged scholars with interdisciplinary backgrounds in AI & data science, engineering & physics,  mathematics & logic,  ethics & philosophy,  social science and law. We value integrity and inclusivity, trust and transparency, commitment and cooperation. We exemplify these values through our contributions to academia, governments, industry, civil society, communities  &  citizens

Faculty and Staff

PhD students and Postdocs

Affiliates

Master and bachelor students

  • Huguette Veenstra, Text Classification for Insider Trading Detection by monitoring communication data within financial institutions. Master IS.

  • Maythe Dirkzwager. Identifying subgroups of patients with acquired brain injury. Master IS

  • Silvia Fallone, Cluster analysis of neurorehabilitation trajectories for clinical decision support. Master IS

  • Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI

  • Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI

  • Lodewijk van Kaizerswaard, Rewarding rationality to improve reinforcement learning models on the metro network design problem

  • Riccardo Fiorista, Equitable Public Transport Network Reduction: A Reinforcement Learning Approach. Master IS

  • Paul Stepanov,  Fairness in Facility Location through Clustering. Master IS

  • Aiden Ta, Synthetic school choice data generation using Bayesian networks. Master IS

  • Diederik Salimans,  Predicting the education level of primary school pupils in the Netherlands using fair AI. Master IS.

  • Iris Boeters, Causally Fair Machine Learning for Secondary School Dutch Education, Master Brain and Cognitive Science

  • Nina Spreitzer - Evaluating the Practicality of Counterfactual Explanations - Master IS

  • Sehra Elahi - Predictive modelling for the food environment and health in Amsterdam- Master IS

  • Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI

  • Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI

  • Friso Remeeus, Bias in the panoramic dataset of the municipality of Amsterdam. Bachelor AI

  • Coen van den Elsen, Predicting Perceived Attributes of Urban Images using Low-dimensional Holistic Image Representations. Bachelor AI

  • Maythe Dirkzwager. Identifying subgroups of patients with acquired brain injury. Master IS

  • Silvia Fallone, Cluster analysis of neurorehabilitation trajectories for clinical decision support. Master IS

  • Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI

  • Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI

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