CUTLER Project - Coastal urban development through the Lenses of Resiliency
About this good practice
The CUTLER platform is an innovative data-driven decision-support system for public administrations that offers both a standardized way to design high-quality decision-support interfaces but also a standardized way of presenting the decision-making process to policy makers and visualising the necessary evidence in each step of the process. Its flexible architecture allows easy adaptation to the needs of different cities in terms of examined policies, decision-making processes, and IT infrastructure.
• a process for the efficient modeling of existing decision-making processes, also enriched with the value added by big data
• advanced data integration, analysis and visualization tools handling heterogeneous data and mechanisms to address relevant legal & ethical issues
• tools for policy impact analysis that considers simultaneously the impact on the economy, the environment and the society
• a flexible evidence-driven decision-support platform that can be easily adapted to the needs of different cities in terms of examined policies, decision-making processes, and IT infrastructure
Resources needed
The total cost of the project was € 5.080.125,00
Evidence of success
The CUTLER Handbook summarises the main outcomes of the CUTLER project and demonstrates how CUTLER addressed data-driven policy-making in public administrations with regard to urban development policies in waterfront cities. In general, economic, environmental and social data are combined, KPI's are set and tested on five pilot cities.
Potential for learning or transfer
The project has a huge transferability potential. The architecture of the project and the model used for harvesting and using big data analysis makes it a perfect solution for public administration interested in policy making based on real-time data.
It takes advantage of sensing infrastructures that are already installed in the cities and are able to offer open demographic data, statistical information, sensor readings and user contributed content, forming the big data layer of the solution.
Subsequently, methods for big data analytics are used to measure the economic activity, assess the environmental impact and evaluate the social consequences.
The evidence extracted from this step are used to support the decision making process, by being able to inform, advice, monitor, evaluate and revise the decisions made by policy planners.
Finally, through these decisions, a set of specific urban development measures/policies are designed and evaluated in five pilot cities.
Further information
Website
Good practice owner
You can contact the good practice owner below for more detailed information.
Centre for Research and Technology Hellas (CERTH)