Risk indicators drug premises

Municipality of Utrecht

Preventing Utrecht property from being used for drug crime. This approach is part of the citydeal Zicht Op Ondermijning.

Last change on 12th of July 2024, at 9:48 (CET) | Publication Standard 1.0

• Publication category: Impactful algorithms
• Impact assessment: DPIA, ...
• Status: In use

General information

Theme

Public Order and Safety

Begin date

010719

Contact information

[e-mail]

Link to publication website

zichtopondermijning.nl

Responsible use

Goal and impact

In practice, Utrecht properties are used for hemp nurseries and synthetic drug labs. By applying this algorithm, we want to gain insight into the risk of properties being used for drug crime, at neighbourhood level. With the aim of preventing and enforcing drug crime as much as possible.

Considerations

Results Utrechts Uthic Assessment: with this Real Estate approach within the track Zicht op Ondermijning (Insight into Undermining) we reduce the chance that Utrecht real estate is used for drug crime. This contributes to the Safety and Health values of Utrecht residents. If we apply this preventive approach successfully, we prevent the group of vulnerable Utrecht residents from growing. In doing so, we fulfil the value Justice. When applying the algorithm, there is no risk of privacy violation, because it does not work with personal data but with profiles of objects and the results are published at aggregated level.

Human intervention

The algorithm (with a direct impact on Utrecht residents and their living environment) always serves only as a source of information for an employee, who takes the appropriate next step based on this information and the context of the situation. This principle is included in our Utrecht framework Internal Guidelines for Algorithm Application.

Risk management

The Utrecht data scientists, Information and Process Advisors (IPA) and Decentralised Information Security Officers (DISO) within the Utrecht municipality have a controlling and monitoring role in the application of the algorithm, in addition to the employees directly involved. By doing so, we want to prevent the following risks from occurring:

- data leak by making personal data of Utrecht residents publicly available

- algorithm takes a decision completely independently, without the intervention of an employee and without interpreting the relevant context of the situation

- 'function creep' regarding data when applying the algorithm, causing the algorithm to give a distorted picture of what is going on. This can occur because the same type of data is used when applying the algorithm, and the algorithm uses that as confirmation of what comes out as information

Legal basis

Central Bureau of Statistics (CBS) Act

Impact assessment

• Utrechts Uthiek Assessment
• Data Protection Impact Assessment (DPIA)

Operations

Data

Data sets used in the application of the algorithm include:

- Use function and status of properties (LEVCYCLWONNIETWOONBUS);

- WOZ value and ownership of properties (EIGENDOMWOZBAGTAB);

- Ownership and ownership of dwellings (EIGENDOMTAB);

- Proximity to traffic facilities (NABIJVERHEIDVERKEERTAB);

- Neighbourhood characteristics StatLine (link): Key figures neighbourhoods and districts (link), Proximity of facilities (link).

- File with addresses of all cleared synthetic drug labs in the Netherlands, from the LFO;

- File with addresses of criminally cleared hemp nurseries in the Netherlands, from the DRZ;

- File with addresses of cleared hemp nurseries in different municipalities in the Netherlands, from 42 municipalities.

- File with addresses of all cleared synthetic drug labs in the Netherlands (2015-2020), from the LFO.

- System of Social Statistical Files (SSB).

- Addresses of persons (GBAADRESOBJECTBUS).

- Customised file Target group analysis file with information on personal characteristics, income and offences

- Security monitor