Cities are facing a revolution in urban mobility. Emerging start-ups are offering innovative mobility solutions to satisfy the demand of the growing population, both living or moving into the cities every day. We are moving from the concept of owning to sharing a vehicle; from using public transport services to moving around with a hop on/off bike or electric scooter; disruptive start-ups (Uber, Cabify) are shaking up traditionally established business models... But this innovation is also bringing up unforeseen consequences that public administrations need to manage. Electric scooters driven in pedestrian areas are posing safety risks and even pedestrian kills; piles of broken bikes are laying around in streets; protests and strikes by taxi drivers; electric charge points need to coexist with the growing demand for public parking spaces. It is in this new context that public administrations need means to help them understand this new scenario, supporting them in making policy–related decisions and predicting eventualities. There is a need of a platform that can harvest, fuse and curate data from heterogeneous sources, that can extract knowledge to help in the decision-making processes and simulation of solutions to anticipate behaviours and delimit unforeseen consequences. Besides, such intelligent platform can foster cross-departmental collaboration by eradicating internal silos. URBANITE will analyse the impact, trust and attitudes of civil servants, citizens and other stakeholders with respect to the integration of disruptive technologies such as AI, DSS, big data analytics and predictive algorithms in a data–driven decision-making process. To this end, URBANITE will provide recommendations, pathways and toolkits (both ICT-based such as data management platform and DSS, and non-ICT such as co-creation activities and a repository of social-related assets) for city managers. Results will be validated in 4 real use cases: Amsterdam, Bilbao, Helsinki and Messina.