Research

My research is centred around developing and applying methods from other disciplines to solving complex spatial problems.  I am interested in far too many things, but particularly artificial intelligence, machine learning and data visualisation.  I am currently working with chemists, physicists, ecologists, social scientists and computer-scientists on a range of different problems.  Some of the funded projects that I’m working on are listed below:

Bringing the Social City to the Smart City (ESRC-Turing Fellowship):

Understanding and Quantifying Uncertainty in Agent-Based Models for Smart City Forecasts: (Turing):

Capturing relationships between individuals: Integrating Causal Inference and Agent-based modelling: (Turing):

Behavioural, ecological and socio-economic tools for modelling agricultural policy (BESTMAP – H2020):  My role in this project is to devise ways to scale up ABMs from local to national levels.

Forecasting the future of policing (Turing): This project is in conjunction with UCL and The Met to explore the potential of ABM as a tool for forecasting demands in policing.  The PI is Dr Dan Birks.

Data Assimilation for Agent-based models (ERC): This project is devising new approaches to calibrate and validate ABMs in real-time, thereby improving the accuracy of short-term forecasts of social systems.  Model code and updates can be found on the following Github pages. The PI is Dr Nick Malleson.

Consumer Data Research Centre (ESRC):The CDRC seeks to develop new approaches to social science research which are needed to exploit new sources of consumer data. I hold the post of Director of Innovation.