Since 2024, the Municipality of Assen has worked with the Integrated Neighbourhood Scan, which Clappform developed. AI is an important part of it: Assen was the first municipality to start working with Clappform’s AI assistant.
start of the project
municipality to work with Clappform’s AI assistant
municipality, district and neighbourhood in one dashboard
Customer
Municipality of Assen
Solution
Integrated Neighbourhood Scan with AI
Since
2024
Goal
More targeted work on the neighbourhood approach
CBS key figures per district and neighbourhood
The RIVM basic set
With the neighbourhood scan, Assen wants to work in a more targeted way on its neighbourhood approach. The municipality brings together public data on liveability, the social environment and public space, and asks questions about it in plain language. This shows Assen which districts need the most attention and where the municipality has the best chance of making improvements.
A neighbourhood approach requires choices: which districts do you invest your time in, and on which themes? There is plenty of public data on districts and neighbourhoods, but it is spread across different sources. A policy officer cannot easily get an answer from it to the question of where the municipality can achieve the most. Assen wanted to be able to ask those questions itself and get a substantiated answer based on public data.
Clappform developed the Integrated Neighbourhood Scan with an AI assistant. The neighbourhood scan shows the living environment at municipality, district and neighbourhood level in one dashboard, based on the RIVM basic set.
Staff put their questions to the assistant in plain language. It looks up the answer in the municipality’s data and explains what the result means. The model gets no access to the database, only the question and the results that the platform retrieves.
Within the Integrated Neighbourhood Scan, the municipality can, among other things:
see which districts and neighbourhoods need the most attention;
see per district which themes offer the most opportunities for improvement;
have the meaning of a score or trend explained, and what it affects;
combine and compare public sources;
compare districts with similar areas and with earlier reference years.
The municipality now sees per district where the biggest bottlenecks are and where it can improve the most. This allows Assen to focus its time on the neighbourhood approach more precisely.
AI assistant
The assistant looks up the answer in the municipality’s data and explains what the result means.
The Municipality of Assen presented the AI dashboard for neighbourhood approaches at the Digital Democracy Summit in The Hague, with interest from as far away as Paris.
Municipalities work on a wide range of themes: housing and liveability, sustainability, safety and the social domain. These themes touch on area development and call for current, reliable data.
When allocating resources, prioritising policy interventions and monitoring neighbourhood developments, current insights help municipalities make well-founded choices and adjust course.
Clappform offers municipalities one modular data platform that connects existing systems and data sources, checks the data on every load and runs thematic dashboards on top of it that match policy questions.
Want to explore the possibilities?
Diego Tolen, Clappform · d.tolen@clappform.com