INTRODUCTION

On Thursday 19 and Friday 20 February, 2026, the School for Information and Knowledge Systems (SIKS) is organising the course “Foundations of Data Science: Data Mining”. The course will be given in English and is part of the Educational Program for SIKS PhD students. It is a course with a broad focus, aimed at all SIKS PhD students regardless the research area they are actually working on. Although these courses are primarily intended for SIKS PhD students, other participants are not excluded. However, their admittance will be restricted and will depend on the number of SIKS PhD students that wish to enroll.

LOCATION:

The course will take place at hotel Landgoed Huize Bergen in Vught, near Den Bosch. Please note that overnight accommodation is not provided for this course. Should you wish to stay at Landgoed Huize Bergen, you will be able to book a room at a discount by contacting them on +31 73 658 04 00 or receptie@huizebergen.nl and informing them you are a SIKS PhD student.

DATES:

19-20 February 2026

SCIENTIFIC DIRECTORS:

Dr. Ad Feelders (UU)
Prof. dr. Arno Siebes (UU)

PROGRAMME

Thursday 19 February

9.30 – 10.00       Doors open, coffee

10.00 – 10.15    Opening

10.15 – 12.00    Marijn ten Thij (Tilburg University): Computational psychology: quantifying theories using real-world data

12.00 – 13.15    Lunch

13.15 – 15.00    Rianne Schouten (TU/e): Exceptional model mining

15.00 – 15.15    Break

15.15 – 17.00    Tom Viering (TU Delft): Surprising Learning Curves and Scaling Laws

18.00                   Dinner

Friday 20 February

10.15 – 12.00    Marijn Schraagen (Utrecht University): Quantitative analysis of physiological signals and reading behavior in low-literate participants

12.00 – 13.15    Lunch

13.15 – 15.00    Roxana Radulescu (Utrecht University): Multi-objective reinforcement learning for complex decision support

15.00 – 15.15    Break

15.15 – 17.00    Jan van Rijn (LIACS, Universiteit Leiden): Automated machine learning: past, present and future

17.00 – 17.05    Closing

Registration

Registration is now closed.

Information for non-SIKS PhD students

SIKS needs a confirmation from your supervisor/office that they agree with the arrangement and paying conditions.