The Ciudad2020 project aims to develop a new model of ecologically and economically sustainable smart city, in which the analysis of the real demand of citizens, along with the communication opportunities offered by the internet and the increasing number of devices connected to the Network, are the basis for providing public services adjusted to the needs of users.
Ciudad2020 addresses the new model of smart city from a multidisciplinary approach and is based on five fundamental pillars: the city connected on the Internet of the future; Energy efficiency at both municipal and citizen level; Mobility and sustainable transport; Environmental sustainability and citizen well-being; And the urban behavior of the citizen and his relationship with the city.
The ultimate goal of public decisions is the welfare of the citizen. On this basis, the administrators take measures of a different nature, always with the aim of increasing the quality of life of the inhabitants of their city.
But frequently there are problems that the local administration is unaware of, or problems take on a larger dimension than managers are considering. In these cases, citizen opinion is the key to being able to solve these situations in the best possible way. And to get this views in a transparent and straightforward way we can use the Citizen Sensor.
At MeaningCloud we see the Citizen Sensor as the record of events in the relationship of the citizen with his municipality. It is an innovative way of capturing complex information, very descriptive and of high value added, especially if it is observed in an aggregate form.
Funding organization: CDTI (Centro de Desarrollo Tecnológico e Industrial). IPT-20111006
Partners: Ferrovial Agromán, Atos, Fagor Electrónica, GFI Informática. Fractalia, Daedalus (now Singular Meaning), Tekia, Isoco. Universidad Politécnica de Madrid, la Universidad de Alcalá de Henares, Universidad Carlos III, Universidad de Zaragoza, Universidad de Cantabria, Universidad de la Coruña, Barcelona Digital, CI3 (Centro de Innovación de Infraestructuras Inteligentes).
Funding: 16,3 M €