Call for papers
Royal Geographical Society Annual International Conference 2016 (RGS 2016). London - Tuesday 30 August to Friday 2 September 2016.
A deluge of new data created by people and machines is changing the way that we understand, organise and model urban spaces. New analytics are required to make sense of these data and to usefully apply findings to real systems. This session seeks to bring together quantitative or mixed methods papers that develop or use new analytics in order to better understand the form, function and future of urban systems. We invite methodological, theoretical and empirical papers that engage with any aspect of urban analytics. Topics include, but are not limited to:
- New methodologies for tackling large, complex or dirty data sets;
- Case studies involving analysis of novel or unusual data sources;
- Policy analysis, predictive analytics, other applications of data;
- Intensive modelling or simulation applied to urban areas or processes;
- Individual-level and agent-based models (ABM) of geographical systems;
- Validating and calibrating models with novel data sources;
- Ethics of data collected en masse and their use in simulation and analytics.
Please e-mail the abstract and key words with your expression of intent to Nick Malleson (firstname.lastname@example.org) by 12th February 2016 (one week before the RGS conference deadline).
An abstract should be no more than 250 words.
- 12th February 2016: Abstract submission deadline. E-mail Nick Malleson (email@example.com) by this date if you are interested in being in this session. Please submit an abstract and key words with your expression of intent.
- 16th February 2016: Session finalisation and author notification
- (19th February 2016: Final session / abstract deadline set by the RGS)
- 10th June 2016: Early-bird registration deadline.
- 11th July 2016: Final registration deadline.
- Nick Malleson, School of Geography, University of Leeds
- Alex Singleton, School of Environmental Sciences, University of Liverpool
- Mark Birkin, Director of the University of Leeds Institute for Data Analytics (LIDA)
- Ed Manley, Centre for Advanced Spatial Analysis (CASA), UCL.
- Alison Hepenstall, School of Geography, University of Leeds