This project explores how cities must radically transform in response to climate change, resource scarcity, and systemic pressures. It combines visionary design with scientific foresight, using speculative methods and simulation tools to rethink urban spatial types. The goal: new spatial models, design and planning tools that support response-able environments for sustainable, livable futures.
The project explores how integrated, adaptive urban mobility systems can respond to climate change, spatial scarcity, and social needs. It aims to restructure transport through multifunctional mobility hubs, modular units, and smart networks – balancing passenger and freight flows. By rethinking mobility in three dimensions, it promotes equitable access, efficient use of space, and inclusive, sustainable urban transformation.
The project explores how cultural narratives and spatial imaginaries shape and respond to urban disruptions. Bridging literary studies, urban sociology, and environmental humanities, it investigates how stories about infrastructure, climate migration, and inequality reflect and challenge urban realities—contributing to debates on ecological justice and reimagining future cities.
This project develops a hybrid modelling approach combining observational data, process-based models, and machine learning to quantify the effects of blue, green, and grey infrastructure (BGGI) on urban climate adaptation and mitigation. It investigates how BGGI performance varies across urban typologies and explores trade-offs and synergies, including links to environmental justice based on socio-economic data.
The project envisions “response-able” factories - both responsible and capable of adapting - in the context of distributed and decentralized value chains. Designed to operate within planetary boundaries, these factories will be built using modular, reconfigurable volumes and sustainable materials, integrated into smart, vertically organized structures. They will reabsorb waste into production through localized strategies and circular material flows, supporting a regenerative and resilient industrial ecosystem.
This project develops a flexible framework to manage diverse urban models – ranging from high- to low-fidelity – by accounting for uncertainty, scope, and relevance. It enables planners to integrate heterogeneous models under real-world constraints, supporting evidence-based, trustworthy decisions across domains. Model management becomes essential for robust, adaptive, and computationally efficient urban planning.
The project explores future mobility infrastructures that go beyond transport – integrating social, spatial, and environmental functions. It develops design principles for multifunctional, locally rooted, and digitally fabricated structures. Using AI and multiparameter modelling, the project tests how mobility systems can enhance public space, sustainability, and identity.