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We would like to know if and where birds are in Utrecht in the near future. The presence of birds indicates a green and environmentally friendly environment. In doing so, we contribute to Healthy Urban Living in Utrecht.

Determining which children are eligible for Early Childhood Education (VE).

Preventing residential burglary in Utrecht

Preventing petty crime at Utrecht hotspot locations.

To properly combat fraud by residents in Work and Income services, we use the application of an algorithm as a source of information. This process is part of the Overvecht neighbourhood-focused intervention project (National Intervention Team Steering Group).

We are keen to offer our residents the right help during the Corona period, given that the measures set affect residents' mental state. By predicting where and to what extent youth and Wmo support is needed, we can better respond to this.

By being able to enforce measures during the Corona period in a better and more targeted way, we can properly enforce the General Local Bye-Law (APV).

On this page, you will find information about the 'Sampling Enterprises' algorithm. This algorithm delineates the SME research population and randomly selects 3,600 entities from it that are eligible for a book examination by means of a stratified sample.

This page contains information about the algorithm 'Risk selection of posts with license plate data for the ANPR action'. This algorithm selects license plates of vehicles that the Tax and Customs Administration wants to recognise in actions with automatic license plate recognition (ANPR).

This page provides information about the algorithm that selects book examinations for dual students. This algorithm selects from the entrepreneurial population of SME entities that meet certain criteria.