This site enables you to interact with a demo inspired by The STAR Algorithm (from the Danish
abbreviation of The Danish Agency for Labour Market and Recruitment, hereafter STAR).
The algorithm constitutes the core of a profiling tool, which is implemented in job centers in Denmark.
This profiling tool was initially presented as a tool to support the unemployed in their preparation for
the job-seeking process and as a starting point for the dialogue between the unemployed individual and
their caseworker at the local job center.
In practice, the profiling tool uses an implemented algorithm to create data profiles of unemployed citizens
based on personal data. The stated purpose of the tool – and the underlying algorithm – is to predict
whether an unemployed citizen is at risk of long-term unemployment.
You can explore how the algorithm makes predictions by entering different values below.
The Danish Agency for Labour Market and Recruitment provides the STAR algorithm with your register data. As we do not have access to your register data, we ask that you provide this information below.
Please enter a valid input
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Confronting Data Co-lab is a co-operation of scholars based at Department of Computer Science, University of Copenhagen working and acting together in support of the stakeholders we encounter and engage with in our research.
Visit Confronting Data Co-lab.
Web application developed by Confronting Data Co-Lab in cooperation with Peter Maarbjerg Dønvang and Therese Moreau.