Complex and nonlinear pattern analysis in architectural space, form and program: developing computational tools to support social and cultural design. In a country that is experiencing increasing urban density there is an urgent need for the development of tools and models for the production of socially and culturally responsive environments. The Fellowship develops a new quantitative and qualitative understanding of the experiential and semiotic characteristics of buildings. The project, assis ....Complex and nonlinear pattern analysis in architectural space, form and program: developing computational tools to support social and cultural design. In a country that is experiencing increasing urban density there is an urgent need for the development of tools and models for the production of socially and culturally responsive environments. The Fellowship develops a new quantitative and qualitative understanding of the experiential and semiotic characteristics of buildings. The project, assisted by developments in robotics technology, produces a leading-edge computational model for analysing complex and non-linear patterns in architectural space, form and program from a social and cultural perspective. Such a model will assist design practitioners, scholars, town planners and policy writers to shape rich, responsive and inclusive architectural environments.Read moreRead less
Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions w ....Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions will be re-evaluated in the context of contemporary economic, social and environmental criteria to enable existing multi-criteria models to deliver more sustainable outcomes that are also feasible and in the national interest, and consequently minimise the industry's current exposure to future climate change.Read moreRead less