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.
Residential burglary predictor
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- Out of use
General information
Theme
Begin date
End date
Contact information
Responsible use
Goal and impact
Preventing residential burglary in Utrecht. To do so, we provide our residents with tools such as information on suitable alarm systems, Police marks and practical tips. With the application of this algorithm, we as a municipality could predict down to neighbourhood level how high the risk of residential burglaries would be. Based on many different types of data, from the municipality and other partners like the Police. Since the application of this algorithm, the number of residential burglaries in Utrecht has decreased.
Considerations
Results Utrechts Uthiek Assessment: with this approach to preventing residential burglary, we contribute to the values Safety and Health of Utrecht residents. From the value Privacy, we have ensured that only anonymised data is used in the data model. From the value Control of technology, we ensure that the algorithm meets the conditions of information security.
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 in the application of 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
Operations
Data
Data sets used in the application of the algorithm include the following:
- Overview of addresses committed residential burglary (based on report) with information on burglary method from the Police
- Reports on public space with location
- Demographic characteristics such as flow, density, age groups and composition of housing stock at aggregate level
- Environmental characteristics such as proximity of facilities related to traffic (bus stops or train stations) or shops
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