Polling station manager

Municipality of Rotterdam

The Polling Station Manager allows volunteers to sign up to help with elections. The volunteer's experience determines which roles are available and what training is needed to perform these roles well.

Last change on 18th of July 2024, at 12:56 (CET) | Publication Standard 1.0

• Publication category: Other algorithms
• Impact assessment: Field not filled in.
• Status: In use

General information

Theme

Organisation and business operations

Begin date

09-2016

Contact information

[e-mail]

Link to publication website

https://algoritmeregister.rotterdam.nl

Link to source registration

https://algoritmeregister.rotterdam.nl/p/Onzealgoritmes/53761720551902132

Responsible use

Goal and impact

With this algorithm we offer a service to volunteers by providing customized locations, functions and training
The result of the algorithm is that volunteers must first have gained certain experience before they are allowed to fulfill certain more responsible functions. The training previously followed also influences the current mandatory/non-mandatory training offer. The Polling Station Manager helps to guarantee the quality of the elections.

Considerations

Supply in location is a convenience we offer volunteers, all locations with available functions can be chosen. By also matching the functions with the experience and offering appropriate training, we guarantee the quality of the elections.

Human intervention

The system determines after configuration. The configuration can be set so that exceptional/special cases go to a validation bin. Then an employee checks the registration. In addition, there is a dashboard with which the progress of the registrations can be monitored.

Risk management

Field not filled in.

Legal basis

Electoral law

Elaboration on impact assessments

n/a

Operations

Data

Volunteer's address and experience, and polling location, job, and training dates

Technical design

If no algorithm were active, the volunteer would not see the polling stations in their direct living environment and it would be unclear what would fit their experience. The location algorithm therefore helps the volunteer to find a polling location in their own environment. The experience algorithm uses the volunteer's experience to suggest suitable functions: the more experienced the volunteer, the less training is needed and the more responsibilities they will have at the polling station.

External provider

Partners4IT