Spatial Dynamics
Investigating the interaction between architectural space and machine intelligence, using spatial data-driven models combined with machine learning and agent-based models.
Part of the Space Syntax Laboratory and The Bartlett School of Architecture, UCL. Exploring the frontiers of spatial computation, machine learning, and architectural intelligence.
The Bartlett's Machine Intelligence Lab is at the forefront of blending space syntax methodologies with cutting-edge machine learning and AI technologies. We seek to deepen our understanding of spatial networks, human behaviour, and urban environments through advanced computational models.
Investigating the interaction between architectural space and machine intelligence, using spatial data-driven models combined with machine learning and agent-based models.
Research Cluster 14 at the Bartlett explores how machine learning reshapes our understanding of urban morphology, spatial analysis, and the design of future cities.
Developing depthmapX — open-source spatial network analysis software with over 150,000 downloads — enabling researchers worldwide to analyse spatial configurations.