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
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Huguette Veenstra, Text Classification for Insider Trading Detection by monitoring communication data within financial institutions. Master IS.
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Maythe Dirkzwager. Identifying subgroups of patients with acquired brain injury. Master IS
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Silvia Fallone, Cluster analysis of neurorehabilitation trajectories for clinical decision support. Master IS
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Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI
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Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI
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Lodewijk van Kaizerswaard, Rewarding rationality to improve reinforcement learning models on the metro network design problem
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Riccardo Fiorista, Equitable Public Transport Network Reduction: A Reinforcement Learning Approach. Master IS
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Paul Stepanov, Fairness in Facility Location through Clustering. Master IS
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Aiden Ta, Synthetic school choice data generation using Bayesian networks. Master IS
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Diederik Salimans, Predicting the education level of primary school pupils in the Netherlands using fair AI. Master IS.
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Iris Boeters, Causally Fair Machine Learning for Secondary School Dutch Education, Master Brain and Cognitive Science
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Nina Spreitzer - Evaluating the Practicality of Counterfactual Explanations - Master IS
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Sehra Elahi - Predictive modelling for the food environment and health in Amsterdam- Master IS
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Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI
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Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI
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Friso Remeeus, Bias in the panoramic dataset of the municipality of Amsterdam. Bachelor AI
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Coen van den Elsen, Predicting Perceived Attributes of Urban Images using Low-dimensional Holistic Image Representations. Bachelor AI
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Maythe Dirkzwager. Identifying subgroups of patients with acquired brain injury. Master IS
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Silvia Fallone, Cluster analysis of neurorehabilitation trajectories for clinical decision support. Master IS
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Rosie Zheng. Mapping inequality in Amsterdam using deep learning and street imagery. Bachelor AI
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Franklin Willemen, Measuring social economic inequality with Deep Learning. Bachelor AI