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.
Signal College / University
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
The Intelligence Bureau notifies the municipality when someone on social assistance benefit starts studying at a college or university. To know who is studying, the Intelligence Bureau shares data with DUO (Dienst Uitvoering Onderwijs).
With this information, the municipality can talk to the person. Together, they see whether the study helps to get back to work.
After all, a study may affect the right to a benefit or the amount of the benefit.
Considerations
The 'Signal Hogeschool / University' is part of the information service Samenloopsignalering (see algorithm 'Samenloopsignalering').
Here only the specific points are explained about 'Signal enrolment Hogeschool / Universiteit'.
By 'concurrence' we mean that a current benefit coincides with enrolment at a college/university.
The algorithm ensures that municipalities only receive data from their own residents with social assistance benefits and where a change has occurred that may affect the right to social assistance benefits.
This protects citizens' privacy. An advantage of this algorithm is that it works much faster than when someone does it by hand. This saves a lot of time for municipal employees. Also, fewer mistakes are made this way.
Human intervention
At the Intelligence Agency itself, this algorithm does not involve human intervention. The algorithm implements rules devised by humans and is not 'self-learning'.
However, the Inlichtingenbureau does ensure that the processing process has gone well.
The municipality decides whether and how to deal with a change.
Risk management
Citizen privacy is a major concern. That is why we periodically check whether there are risks and what can be done about them. This is called privacy impact assessment (PIA).
Legal basis
For the generic basis of processing personal data in the context of the information service "Samenloopsignalering", see the algorithm "Samenloopsignalering"
Basis of processing DUO (as a service falling under via the Minister of OCW):
- Sections 64(1)(i) and 68 of the Participation Act
- Section 45(1)(i) Income Support for Older and Partially Incapacitated Former Self-Employed Persons Act (IOAW)
- Section 45(1)(i) Income Support for Older Workers Act (IOAZ).
Basis of processing RINIS:
- DUO-RINIS processing agreement
- IB-RINIS processing agreement
Basis for processing Intelligence Bureau:
- Articles 64(3) and 68 of the Participation Act
- article 45, second paragraph, IOAW
- Article 45(2), IOAZ
- Section 63 Implementing Organisation for Work and Income Act (SUWI), Section 5.24(1) and (3), SUWI Decree & Sections 6.2 and 6.6 SUWI Regulation
- IB-DUO cooperation and exchange agreement
Basis of processing Municipalities:
- Chapter 5 'Implementation' and Chapter 6 'Powers and facilities municipalities' Participation Act
See also the Data Register Stichting Inlichtingenbureau (Processing Activities Act SUWI / Participation Act) on the website of the Inlichtingenbureau to be found via the following page: https://www.inlichtingenbureau.nl/Privacy-en-Veiligheid/Privacy-en-burgers
Links to legal bases
Link to Processing Index
Impact assessment
Operations
Data
The municipality's benefit file (A):
Please refer to the Concurrence file General.
The demand file to DUO (B):
- BSN
- Date start selection desired information*
- Date end selection desired information*
*period max 1 year back, but never before benefit start date.
The response file to DUO (C):
- BSN
- Date of start selection requested information
- Date end selection requested information
- Indication registration RODHO (1 = registered for an institution, 2 = not registered with an institution
- Indication full-time/part-time enrolment (1 = full-time, 2 = part-time, 3 = dual (working/learning), 4 = designated institution, 9 = not known/data not provided
- Enrolment start date
- Enrolment end date
- Name, telephone and fax number (DUO contact person)
The response report to the municipality (E):
- Indication enrolment RODHO (1= enrolled for institution)
- Indication full-time/part-time enrolment (1 = full-time, 2 = part-time, 3 = dual (working/learning*), 4 = designated institution, 9 = not known/data not provided **
- Study enrolment start date
- Enrolment end date
- Name, telephone and fax number (DUO contact person)
* A combination of working and learning and therefore possible employment income
** Initially, DUO's answer includes Indication enrolment RODHO code or 1 or 2. Next, the Intelligence Bureau receives coding around full-time/part-time only for BSNs known to DUO (code 1), which may include a code 9. In this case, the BSN is known to DUO but no data are known regarding the part-time/full-time indication. The latter is therefore reported in the signal to municipalities.
Technical design
A. A municipality delivers a file relating to the current social assistance population to the Intelligence Bureau monthly via the secure client portal. After each delivery, a processing report is published, listing any errors in the delivery;
B. The application to DUO based on the municipality's benefits file (via RINIS);
C. The delivery of DUO's file with data on attendance of higher education (HE) enrolments for persons delivered under B (via RINIS);
D. The Intelligence Bureau compares whether there is overlap in the supplied data;
E. In case of overlap, the Intelligence Bureau issues a signal to the municipality.
External provider
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