The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.
Explore some of this Open Access research from the Departments of Architecture.
Chandra, R. and Sandilands, R.J. (2005) Does modern endogenous growth theory adequately represent Allyn Young? Cambridge Journal of Economics, 29 (3). pp. 463-473. ISSN 0309-166X
Finch, J.H. and McMaster, R. (2002) On categorical variables and non-parametric statistical inference in the pursuit of causal explanations. Cambridge Journal of Economics, 26 (6). pp. 753-772.
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