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.
Johnson, Johnnie and Jones, Owen and Tang, Leilei (2006) Exploring decision makers use of price information in an efficient speculative market. Management Science, 52 (6). pp. 897-908. ISSN 0025-1909
Bedford, T.J. and Kraan, B. (2005) Probabilistic inversion of expert judgments in the quantification of model uncertainty. Management Science, 51 (6). pp. 995-1006. ISSN 0025-1909
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