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.
Early on
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The municipality of Almere is fighting against poverty. With the algorithm, the municipality receives signals about payment arrears from housing corporations, health insurers, energy and/or water companies. Efforts are made to help residents who have payment arrears and/or are at risk of getting into debt situations as early as possible, thus preventing further poverty problems. If the financial problems are still small, advice can sometimes already be a good solution.
Considerations
Under the Municipal Debt Assistance Act (Wgs), early signalling is a legal duty for municipalities to actively approach residents with impending debt/poverty problems and offer help. Housing landlords, drinking water companies, energy suppliers and/or health insurers alert the municipality if they see that their customers are not paying their bills. They do not need their customer's permission to do so first. The companies and agencies signal if their own efforts do not resolve arrears, for example by making personal contact and offering a payment arrangement. These alert notifications are automatically forwarded to the municipality. Alternatively, creditors could manually submit the warning notification to the municipality, but this ultimately has the same outcome.
The exchange of data is done in a secure manner: only necessary data is shared and the data is not visible to anyone other than designated staff. A resident can ultimately choose whether or not to use the municipal assistance offer.
Human intervention
Based on a notably the level of arrears, the system makes an independent (automated) choice, for instance to classify the signal as 'to follow up with an email or letter' or 'to follow up by inviting someone for an interview'. After that process of data matching (the 'matching'), there is a moment of human oversight and a check that that matching is correct. From the moment the report is forwarded to a social worker, the process is no longer automated. After a signal from, say, a landlord, the municipality itself can invite someone with debt problems for a meeting. Indeed, any signal must be followed by some 'offer of help'. However, a person may refuse the municipality's help.
Risk management
The registration and information system 'RIS Matching' and the direction system 'RIS Vroeg Eropaf' - both web applications - are provided by XXLLNC. They regularly carry out security tests to check that the system cannot be hacked. Data protection (AVG) and information security (legal and other) requirements are met.
Legal basis
Municipal Debt Relief Act (Wgs): since 1 January 2021, early signalling is a statutory duty for municipalities.
Operations
Data
Name, address, e-mail address, possible presence of resident minor children, signalling of a payment arrears of more than 30 days with a housing association, utility company or health insurers, as well as amount and duration of such payment arrears.
Technical design
The creditor makes a notification in the registration and information system RIS Matching. Once a month, all new notifications are checked by an employee of the municipality. It then checks whether there are multiple debt arrears within one household. After this, the automated process with the algorithm stops. Then, using the RIS Vroeg Eropaf control system, the municipality contacts the resident in a manner appropriate to the level of arrears to offer help.
External provider
Similar algorithm descriptions
- In Zundert, we fight against poverty. We try to help people at risk of poverty as early as possible to prevent them from getting into serious debt or being evicted.Last change on 23rd of April 2024, at 10:57 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- In Amsterdam, we fight against poverty. We try to help people at risk of poverty as early as possible to prevent them from getting into serious debt or being evicted.Last change on 10th of September 2025, at 14:48 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA, Privacy Quickscan
- Status
- In use