Leader of the group Stochastics: Bert Zwart.


Many natural and man-made systems and processes are driven by random phenomena. Examples can be found in areas such as communication, energy, information, logistics, and transportation systems. In order to model, describe, and improve such systems, our group develops and studies probabilistic, operational and statistical models. Our group’s analysis of these models relies on techniques from fundamental probability theory, queueing theory, stochastic scheduling, spatial stochastics and stochastic geometry. Our work with various companies in these areas, as well as with top researchers and universities across the globe, ensures our position at the forefront of every aspect of this research field.



Two talented PhD students, on the subject of “Machine Learning for Combatting Cybercrime"

Two talented PhD students, on the subject of “Machine Learning for Combatting Cybercrime”. Over the past few years, cybercrime has increased dramatically and has become a major threat to the proper functioning of our modern society. This has raised the need for the development of new and powerful methods to combat cybercrime.


CWI and ProRail predict railway incidents

CWI and ProRail predict railway incidents

Centrum Wiskunde & Informatica and ProRail recently started a research collaboration in the area of the handling of incidents at the Dutch railways. It concerns a public private partnership between CWI and ProRail striking up a four year period. The research is aimed at prevention and handling of a broad spectrum of railway incidents, like disturbance of the railway infrastructure, people walking on the tracks and collisions.

CWI and ProRail predict railway incidents - Read More…


Associated Members


Current projects with external funding

  • Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken ()
  • Impactstudie Noord/Zuidlijn Gemeente Amsterdam
  • Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
  • Data-driven optimization for a vital elderly care system in the Netherlands (DOLCE VITA)
  • Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
  • Lane Analysis & Route Advisor (LARA)
  • Evidence-based effective monitoring and control of Covid-19 after the initial outbreak (None)
  • Het dectecteren van (corona-gerelateerde) problemen bij de hulpvragers van 113 Zelfmoordpreventie voor en de uitbraak van de coronapandamie in Nederland middels state-of-the-art Natural Language Processing (NLP) (None)
  • State estimation for spatio-temporal point processes with applications to criminology (None)
  • PPS Engie
  • Robust, Effective and Adaptable Ship Designs for Uncertain Transition Paths (READINESS)
  • Urban Mobility Observatory (UMO)

Related partners

  • De Verkeersonderneming
  • Gemeente Amsterdam
  • RIVM
  • Stichting 113
  • Universiteit Wageningen
  • Academisch Medisch Centrum
  • Stichting Sensor City
  • Engie Services West Nederland B.V.
  • Erasmus Universiteit Rotterdam
  • Leids Universitair Mediach Centrum
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft
  • Universiteit Utrecht
  • Vrije Universiteit Amsterdam