Subproject 1 "Project planning and feasibility study" will investigate which methodological approaches are feasible. Based on the results, the second project "Implementation and Monitoring" will start in April 2022. The current planning status envisages five work packages for the scientific monitoring:
1. expert interviews with housing policy actors in the municipalities with a model region: the aim of this survey is to capture the perspective of the various actors (administration, housing companies, district management, etc.) on the social situation in the model regions. In addition, an assessment of the housing policy measures in the model regions is to be made.
2. typification and mapping of the housing policy measures: The different social and housing policy measures of the model regions are to be transferred into a typology.
3. small-scale monitoring of the social structure with data from the official statistics: within the framework of the project, small-scale measurements are to be made on an ongoing basis of how the social structure changes in the model regions under consideration.
4. description and mapping of infrastructural features and their changes in the municipalities: through data collection and visualization, the infrastructural and institutional differences between the residential districts of the cities are to be worked out. Various aspects such as cultural facilities, schools, playgrounds, recreational and green areas, gastronomy, but also issues such as environmental and noise pollution will be considered.
5. conducting resident surveys on housing, satisfaction and neighborhoods: the development and impact of segregation processes cannot be captured with small-scale social data alone. In cooperation with the cities of Rostock, Schwerin and Greifswald, a citizen survey is therefore planned to take place in 2022, 2025 and 2028. The survey is intended to generate important background information on the social structure and living situations of residents that goes beyond a mere consideration of quantitative data.