
[CPU]lab
Complexity Planning & Urbanism
Cities have emerged as a new type of complex system combining social, ecological and technological dimensions. We face uncertainty, adaptation, temporal dynamics and competing dilemmas. As a design field we explore ways to change trajectories of urban transformation towards sustainable and desirable futures. We explore, use, develop and critique emerging technologies.
Complexity, Planning and Urbanism (CPU) develops new theoretical approaches and computational tools using a complexity science framework (systems, self-organisation, emergence, intelligence, structural change, adaptation) for the design, management, governance and understanding of future cities related to climate change, citizen participation, development strategies, resilient interventions, policy making and urban morphology.
Computational methods are used to expand the realms of static design methods and theory by enabling a temporal and dynamic process. Research activity is essential to the development of new approaches. Our research is transdisciplinary and currently spans Future Cities, Smart Cities, the Internet of Things, agile governance and cities as complex adaptive systems.
Research Themes
Complexity Theories of Cities
Adaptation, Evolution, and Emergence
Complexity Modelling
Data-driven Urban Simulation, Visualisation, and Participation
Procedural Design Science
Computational Philosophy and Procedural Design
Speculative Urban Futures
Probabilities and Projections of Future Cities
Research Networks
Our Work
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DACAS Summer School at the Manchester School of Architecture
Brochure for the DACAS Summer School at the Manchester School of Architecture
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CityVerve: H2020
Testing better services through IoT
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