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Supporting the relaunch of the "Leerstandsmelder"

We help relaunch the "Leerstandsmelder" platform, enabling citizens across 41 German cities to report vacant buildings and advocate for affordable housing.

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Status
Finished
Project Period
March 2024 – October 2024
Partner
Leerstandsmelder e.V.

On Leerstandsmelder.de, citizens can report vacant properties in their city or region. The interactive online platform thus creates transparency about local vacancies. The goal: To stimulate discussion on the social and ecological handling of vacant homes, strengthen arguments for municipal policy engagement against vacancies, document the scale of the vacancy problem, and—looking ahead—statistically evaluate it as well.

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Civic Data Lab

The Civic Data Lab is a joint initiative of the German Informatics Society, CorrelAid, and the German Caritas Association – funded as a Civic Coding anchor project by the Federal Ministry for Family Affairs, Senior Citizens, Women, and Youth. The Civic Data Lab supports organized and non-organized actors in civil society to better achieve common-good-oriented goals through the use of data – by collecting, organizing, and structuring their data, analyzing and linking it, reusing it for their target groups, making it available to others, and supplementing it with available data. Data ABOUT people is reused FOR them. BY civil society, FOR civil society. For the common good. By and for EVERYONE. (Source: https://civic-data.de/)

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Housing shortage: It has become a social reality that harbors potential for socio-political conflict. The proportion of social housing in Germany continues to decline. Rents continue to rise explosively due to the lack of living space. How fortunate that 41 cities have a vacancy reporting system—the current relaunch was supported by the Civic Data Lab as a data project.

As a consortium partner in the CDL, CorrelAid was primarily responsible for designing the project and supporting its implementation by external service providers. The linked blog provides more information about the participating organization and its data challenge, as well as the solution approach and the impact of the project.

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