Colouring Dresden


from 06/03/2023

The citizen science project with the long title "Building culture and climate-friendly architecture in Dresden. Mapping, researching and communicating building knowledge" aims to collect information on Dresden's buildings in an open digital platform together with the population and thus make it visible and usable in maps.  Together with the citizens, research questions have already been found and prioritized. In addition to general basic characteristics (building age, building structure, materiality, use, ...), the focus should be on the resilience of buildings with regard to flood/heavy rain events or heat stress. Taking into account the requirements of historic preservation, among other things, the potential for structural climate adaptation measures can be shown. For these topics in the context of buildings, an appropriate building typology as well as suitable building characteristics and their recording methods will be defined. By building a digital platform that brings together this knowledge on buildings, opportunities for future development can be reflected, visualized, discussed and evaluated. The interactive thematic maps of the platform visualize the state of registration: the more colorful the maps, the more building features have already been registered. The project includes a number of different activities and formats for participation. Together with the partners, actions are planned to convey knowledge about buildings and their recognition in the city (city walks, lecture series at the ZfBK, digital monthly regulars' table, mapathons, school actions at DLR_School_Lab, etc.). The exchange of experience and networking with regard to technical implementation takes place through regular meetings or hackathons. A sustainable digital infrastructure ensures the open provision of project-related documents (the source code of the platform, workshop documentation, the collected data, etc.). Thus, the project aims to create suitable framework conditions to enable Citizen Science in Dresden in a sustainable way. The project is internationally embedded in the research network Colouring Cities Research Programme (CCRP).


Colouring Dresden wants to establish an open and sustainable digital infrastructure and give impulses for Open Citizen Science. The collected data can be used to generate important system knowledge for planning and research to support the transformation towards climate-friendly architecture. The added value for citizens ranges from exciting insights into building culture and climate adaptation in buildings to knowledge generation using geoinformatics and methods of image recognition through artificial intelligence. In concrete terms, this means that the data set will help to protect Dresden from heat, floods and heavy rain in the future, or to make living, working and living in Dresden more comfortable, effective, healthy and sustainable.

1. Establishment of a network of actors and a digital infrastructure to enable external citizen science activities that go beyond the planned project activities.
 2. Further development of the Colouring Dresden platform to make it usable for building typology research approaches with a focus on environmental risks (heat, heavy rain).
 3. Implementation and testing of Citizen Science actions with the aim to encourage different target groups to "join the research". Evaluation of the actions.
 4. Knowledge transfer on the topics of building culture and climate-friendly architecture in order to sensitize citizens and provide insights into scientific research methods.
 5.Measures for the sustainable anchoring and consolidation of the platform and the network of interested users in Dresden.


Needed equipment

computer or mobile device (smartphone, tablet, computer)

About funding

Funding bodies: Bundesministerium für Bildung und Forschung (BMBF)

Bürger schaffen Wissen


Museum für Naturkunde Berlin

Wissenschaft im Dialog

About branding

Profile image design by: GeoSN, dl-de/by-2-0

Created June 6, 2023, 7:51 a.m.

Updated June 19, 2023, 12:11 p.m.

Building Mapping Open Data
Science Topics
Participate from home Do-it-yourself
Difficulty Level
Participation tasks
Classification or tagging Geolocation Observation Data analysis Data Entry DIY hacking/making Learning
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