The Centre for Advanced Spatial Analysis (CASA) is one of the leading forces in the science of cities, generating new knowledge and insights for use in city planning, policy and design and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling. We are part of The Bartlett: UCL's global faculty of the built environment.
Ed’s background lies in the application of computational techniques to interdisciplinary domains, with a particular focus on urban systems.
Ed completed his Engineering Doctorate at UCL entitled ‘Modelling Spatial Cognition to Predict Urban Road Traffic Dynamics’, where he developed a large-scale agent-based model for the simulation of urban road traffic patterns. Using a large dataset of observed route selections, Ed identified new patterns in route selection behaviour within the London region, building on conventional findings in spatial cognition research.
Prior to becoming a Lecturer at CASA, Ed worked as a Research Associate on the MECHANICITY project, investigating the movement of individuals on the London Underground, again applying large datasets and agent-based simulation.
Ed’s research blog can be found at www.urbanmovements.co.uk.
Ed’s research interests broadly fall around understanding the role of individual and collective behaviour in shaping urban processes.
This has previously involved the application of quantitative approaches, including large data analyses, machine learning, and network modelling, along side theoretical understandings drawn from disciplines such as spatial cognition, judgment and decision-making, and sociology.
Ed is particularly interested in advancing data-driven agent-based simulation in order to improve the understanding and prediction of complex social systems. He is interested in the role of data visualisation in the presentation and communication of multifaceted datasets.