The Artificial Intelligence and Data Science division is the largest division of the Information and Computing Sciences department. Its groups are “AI Technology for Life”, “Algorithmic Data Analysis”, “Data Intensive Systems”, “Intelligent Systems”, and “Natural Language Processing”. All groups in the division perform both fundamental and applied research. In their research, the groups in the division have extensive collaboration within the division, the department, the faculty, the university, nationally, and internationally. The division teaches in the Bachelor programs “Artificial Intelligence”, “Computing Sciences”, and “Information Science”, as well as in the Master programs “Artificial Intelligence”, “Applied Data Science”, “Data Science”, “Computing Science” and “Human Computer Interaction”.

The AI Technology for Life group focuses on developing AI technology to gain understanding of biological systems from high throughput measurements. In order to achieve this, the group develops and use a wide range of computational technology, including Explainable AI, simulations of complex systems and Bioinformatics workflows. The research group collaborates with Life Scientists on a wide variety of complex problems in Life Sciences including: the impact of genomics alterations in cancer, mechanisms of protein aggregation, finding novel biomarkers for neurodegenerative disease and unravelling plant-microbiome interactions.

The Algorithmic Data Analysis group performs research in the areas of data mining (patterns, exceptional models, constraints, streaming data, and MDL) and machine learning (now casting, causality, and active learning) as well as operations research with predictive maintenance as a linking pin. The group is actively involved in Utrecht University’s focus area Applied Data Science, as well as in the Mobility, Police, and Public Services AI Labs.

The Data Intensive Systems group studies issues and copes with challenges related to systems that manage massive volumes of data. It develops tools, techniques and methodologies that are related to Heterogeneous Data Integration, Graph Data Management, Knowledge Graphs, Data Curation, Explainability, and Dataset Federations. The group is active in various initiatives, like the AI Lab on Sustainable Finance, Applied Data Science Focus Area, and Data Sharing Coalition.

The Intelligent Systems group performs research in the area knowledge representation and reasoning with a particular focus on foundational and systematic methodologies to integrate model-driven and data-driven approaches. The research group works on the design and development of safe and responsible AI systems by studying rigorous models for reasoning, decision making, learning, monitoring, control, and agent-based simulations. The group works closely with various AI Labs, focus areas, and strategic themes of Utrecht University.

The Natural Language Processing Group focusses on empirical and theoretical aspects of NLP, covering both symbolic and statistical approaches. An important recent focus is explainability of AI models. The group works closely with UU’s Language Sciences department and is aligned with UU’s focus area Human-centred Artificial Intelligence.

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