The program combines academic knowledge, technological innovation, and practical application to public governance, preparing participants to use data and artificial intelligence in defining and implementing more effective public policies.
Throughout the program, participants will develop strategic and analytical skills to support evidence-based decisions, explore international best practices in digital transformation in the public sector, and understand the role of data science in territorial management and development.
One of the distinctive components of the program is the immersion week in New York, one of the world's most advanced cities in the use of data for urban governance. During this international experience, participants will have direct contact with leading initiatives, institutions, and projects through briefing sessions and institutional visits.
Organized into working groups, participants will observe and analyze international practices, considering the technical, institutional, and ethical dimensions of data-driven governance. Based on this experience, they will develop a pilot project applied to their territory, aligned with local needs, available resources, and the degree of institutional maturity.
Throughout the program, participants will develop strategic and analytical skills to support evidence-based decisions and explore international best practices in digital transformation in the sector.
Direct contact with other Portuguese policymakers will enable the development of strategies based on benchmark examples, providing a fast track to moving from strategies to actions on the ground.
A program developed by the NOVA Cidade - Urban Analytics Lab that combines data science, public policy, and territorial innovation to support evidence-based decision-making and transform the way we plan and manage cities.
Bridge Room: Hybrid format ensured by the Bridge Room, a pioneering room in Portugal. Pedagogical model aligned with the EDGE pedagogical strategy.
Faculty: Professors with academic and applied experience in urban intelligence, within an institution that includes researchers recognized in the Top 2% Scientists.