Green Resilient Indicators for Data-Driven urban Sustainability

Partners: 

• Sociotechnical Systems Research Center, Massachusetts Institute of Technology
• IntrepidLab, Centre for Transdisciplinary Development Studies (CETRAD), Lusófona University
• LIACC – Laboratory of Artificial Intelligence and Computer Science, Faculty of Engineering, University of Porto (FEUP)

GRIDS is focused on developing a framework for quality and resilience in urban green transition projects. This project promotes the association of system dynamics and digital twin technologies, supporting smarter planning and operational optimization in cities.

The Green Transition is a global imperative, yet cities face growing challenges: rapid urbanization and the emergence of new mobility paradigms—connected, automated, and electric. These pressures affect infrastructure, energy, mobility, and emissions, making the transition a complex, transdisciplinary challenge. Ensuring the long-term success of urban green transition projects require new indicators, methodologies, and technologies that enable resilient strategies and adaptive decision-making.

The main objectives of the project are:

• Reviewing and consolidating state-of-the-art approaches to Digital Twins, System Dynamics, and AI for smart sustainable cities;
• Identifying quality and resilience indicators from successful Urban Green Transition projects;
• Developing a system dynamics model that integrates mobility, energy transition, and emissions forecasting;
• Building a live Digital Twin supported by machine learning to adapt forecasts and address uncertainty in real time;
• Integrating static and dynamic approaches into a single solution that supports both long-term planning and adaptive management.

Portugal PI:

• André M. Carvalho, UNIDEMI (NOVA FCT)

MIT PI:

• Donna Rhodes, SSRC, MIT

TEAM:

• Lígia Conceição, LIACC – FEUP
• Gabriela Leite, IntrepidLab (CETRAD) – Lusófona University
• Fátima Carneiro, FEUP