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Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Neighbourhood approach

Municipality of Assen

Better and well-informed decision-making to improve neighbourhood liveability interventions.

Last change on 11th of June 2024, at 11:27 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

  • Space and Infrastructure
  • Living

Begin date

2023-08

End date

2023-09

Contact information

info@assen.nl

Link to publication website

https://www.assen.nl/privacyverklaringavg-algemene-verordening-gegevensbescherming

Responsible use

Goal and impact

Better and informed decision-making to improve interventions of liveability in neighbourhoods.
Sub-objectives
  • To analyse more effectively and efficiently what data is available within a neighbourhood and which links are potentially (correlatively) going to have the most impact.
  • With AI analysis, we make the assessment of data more person-independent.
  • Transparency and traceability of the analysis.
  • Gaining experience with the (im)possibilities of AI.

Considerations

The expected outcomes of the algorithm are expected to infringe little on related fundamental rights.
The potential risks of the algorithm are mitigated by embedding it in the neighbourhood approaches process.
This outweighs the expected large returns in time savings, explainability and turnaround time.

Human intervention

Outcomes are used in the analysis phase and tested with residents (participation) and partners.

Risk management

Stigmatisation is the biggest danger. This is combated by engaging with residents and paying close attention to it in communications.

Legal basis

General board order for conducting research.
To process the neighbourhood survey data, it has been anonymised in line with the AVG (DPIA conducted).

Operations

Data

District survey data of 2019 and 2022 from municipality of Assen
Open data government (CBS, police, RIVM, cadastre, dego, VNG realisation, tax authority, lisa, aedes)

Technical design

Machine learning (gradient boosting model)
Explainable AI (t-shape model)

External provider

Clappform

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