Digital society and AI are posing new challenges to cities through opportunities to improve the performance and democratization of local and regional public administrations in their relationship with citizens and companies. Digital and AI’s impacts on the structure of inequality have not yet been sufficiently studied within and between countries and at the city levels. We aim to analyse environmental data and inequalities, by simultaneously advancing the social science problem of sustainable development, and improving the digital tools for city problem-solving, together with social stakeholders and municipalities. Through data science and the application of machine learning, statistical data, and place-based knowledge concerning climate problems, the project intends to produce a digital toolkit of geographical-interactive maps of sustainable footprint, supported by a system of multidimensional indicators of environmental inequalities and urban lifestyles, mobility patterns and transport usage.