There are major research challenges faced by academics and industry professionals in 'Big Data' analytics, especially concerning economic and financial analysis. In order to conduct world-class research, scientists currently require extensive computing expertise in low-level data management and programming to do 'deep' data mining and build computer simulation models. The other major research challenge is the access to and handling of sensitive and expensive 'real-world' data.
These computational, analytics and data challenges are significant research 'blockers' for scientists, policy and industry professionals, which our team are exploring as part of our programme of work.
Our teams are working with and developing different sets of analytical tools as part of our work.
Demographic mapping tools
Land-use transport tools
Urban morphology, design and accessibility