The DIANE-CM project aims at enhancing flood risk awareness through collaborative modelling and social learning. The DIANE-CM approach will enhance the capacity of the stakeholders to cope with flood risk by promoting interaction amongst experts with the assistance of computer tools. Another aim of the project is to better understand how data from hazard and vulnerability analyses and improved maps, as well as data from near real time flood forecasting, can be best communicated to the public in order to involve the community in flood risk management, to enhance public awareness of flood risk and finally reduce flood vulnerability. The tools developed in the project will be implemented and tested in two case studies: the River Alster catchment in Germany and the Cranbrook catchment in the United Kingdom.

Please click on the case study whose collaborative modelling platform you wish to access:

DIANE-CM is funded by the 2nd ERA-Net CRUE Research Funding Initiative.

Please click here in order to access brief information about the work packages, organisation and people involved in the DIANE-CM project.