We support public administrations and other agents that operate in cities in the drafting of information-based policies.
In a continuous feedback process, we define the topics and hypothesis of analysis through a comprehensive diagnosis. We propose strategies, recommendations and action plans to help the involved stakeholders to implement the most appropriate policies, with special emphasis on their spatialization.
We identify the most relevant data sources to describe key urban challenges while detecting the information gaps. We advise on how to manage, store and structure the information throughout the data lifecycle process. We also design methodologies to incorporate data when there is a lack of it.
We generate knowledge and indicators based on information, mainly to help defining the potential of each data sources to address specific urban challenges. We create data observatories to browse and visualise the information.
We use the new data technologies(spatial analysis based on machine learning and artificial intelligence) to change the framework and tools of urban and territorial planning. We develop diagnostic, prognostic and simulation strategies that make the planning process more accurate, traceable and dynamic.