Metropolitan policies and indicators of social cohesion
The urbanization process that is transforming our planet is amply described by a large number of documents, studies and publications. However, sources rarely mention the fact that as a result of this transformation, another process is transforming our surroundings, surpassing all existing decision-making frameworks: metropolisation.
Performed activity
Jordi Maragall room, CIDOB. Elisabets 12, 08001 Barcelona
CIDOB and Metropolis in collaboration with LSE Cities, financed by the Metropolitan Area of Barcelona and the Barcelona City Council
The aim of this seminar is to analyse the impact of the emergence of metropolitan spaces on governance, social cohesion and the quality of life of their inhabitants. How can these new spaces for metropolitan governance also create metropolitan identities and get citizens involved in their construction? What data and studies do we have on inequalities and the lack of social cohesion in metropolitan areas? How can we go beyond quantitative data and analyse the conditions and quality of life of the metropolitan population? In order to do so, we will mobilize the experiences of governments and institutions that work on these kinds of issues with data on a metropolitan level.
We cannot answer these questions without the necessary tools. Therefore, during the seminar we will use the opportunity to present the Metropolis metropolitan indicator system. This is an open database on a metropolitan scale, which when completed will incorporate data from more than 140 Metropolis members. It is an innovative project that will allow us to bring metropolitan data to the surface and make it available to everyone, to identify global and regional trends, as well as to observe the work that remains to be done in the construction of a data system on a local and metropolitan level that is up to date and that incorporates a gender perspective. With its 38 indicators, this project includes information from the 58 metropolitan spaces analysed, amounting to more than 2,204 pieces of data.