Dr Jon Reades joined the Department of Geography in 2013 as Lecturer in Quantitative Human Geography.
Previously, Jon had been a Research Associate for two years at the Centre for Advanced Spatial Analysis, University College London, following the completion of his MPhil/PhD at the Bartlett School of Planning. He also holds a BA (1997) in Comparative Literature from Princeton University.
In the intervening years, Jon worked for a database mining and marketing start-up, based in New York and London, in a range of capacities: graphic designer, web application developer, and project manager. This work stimulated his interest in 'big data' and its potential as a platform for examining and acting upon 'smart cities'.
In his research, Jon has collaborated with public and private sector organisations, such as Transport for London, Telecom Italia, AT&T, British Telecom, and IBM's Smarter Cities lab near Dublin.
- Smart cities and ‘big data’
- Location and infrastructure networks
- New data, open data and ‘old’ methods
- Housing and socio-economic trends
Jon's research draws on geographical theory and ‘quantitative social science’ methods to address contemporary challenges in urban and regional development. His experience in planning and geography, as well as databases and programming, enables him to translate concepts and applications across disciplinary boundaries while paying attention to the details of the data, the methods, and the definition of appropriate research questions.
Jon welcomes students looking to undertake PhD research in the following areas:
- Social and economic networks and their impact on urban form, accessibility and opportunity
- Firms, clusters and regional growth or decline
- Examination of large behavioural data sets to derive insight into dynamic, contemporary socioeconomic activity (e.g. creative cities, transport and journey to work, communications and globalisation)
- Innovative applications of mobile phones/other devices to data collection challenges in developed and developing countries
See Jon's research profile