Dr Adam Dennett

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The Centre for Advanced Spatial Analysis (CASA) is one of the leading forces in the science of cities, generating new knowledge and insights for use in city planning, policy and design and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling. We are part of The Bartlett: UCL's global faculty of the built environment.



I am a currently Lecturer in Smart Cities and Urban Analytics in the Centre for Advanced Spatial Analysis (CASA), University College London.

Previously in UCL I worked as lead researcher on the migration stream of the Explaining, Modelling & Forecasting Global Dynamics (ENFOLD-ing) project and as a Research Associate for both the UK Data Service Census Support Service (with Oliver Duke-Williams in the Department for Information Studies) and the Centre for Longitudinal Study Information and User Support (CeLSIUS).

Prior to joining UCL, I worked in the School of Geography, University of Leeds. For four years I was involved in facilitating access for academic users to large (primarily census but increasingly non-census), interaction data sets as a research officer for the Centre for Interaction Data Estimation and Research (CIDER) project funded by the ESRC. 

Whilst at Leeds I completed my PhD, with a thesis titled "Understanding internal migration in Britain at the start of the 21st Century". Part of this work involved developing a national geodemographic area classification based on the characteristics of migrants and migration flows; a classification which has used as a framework for monitoring changes in the patterns of internal migration in Britain between censuses. 

I have also had another career as a secondary school teacher. After completing a degree in geography at Lancaster University and teacher training at the University of Cambridge I worked for three years as a geography teacher at Hedingham School in Essex.

Research Summary

 I have a range of research interests which all fall broadly under the banner of quantitative human / population geography. 

Much of my recent work has explored techniques for modelling and understanding internal and international migration. In addition, I currently lead the SYLLS (Synthetic Data Estimation for UK Longitudinal Studies) project which is involved in developing techniques to generate artificial micro-level longitudinal population data. 

I am interested in all areas of population geography and demography – particularly the application of statistical, mathematical and GIS techniques in the understanding human spatial patterns and processes.

Research outputs

Global Migration Modelling: A Review of Key Policy Needs and Research Centres 2016 Dennett AR,Mateos P
A Synthetic Longitudinal Study Dataset for England and Wales 2016 Dennett AR,Norman PD,Shelton N,Stuchbury R
Estimating an Annual Time Series of Global Migration Flows – An Alternative Methodology for Using Migrant Stock Data 2016 Dennett AR
Estimating Inter-regional Migration in Europe 2016 Dennett AR,Wilson AG
Visualising migration: Online tools for taking us beyond the static map 2015 Dennett A
Using Mobile Phone Traces to Understand Activity and Mobility in Dakar, Senegal 2015 Manley E,Dennett A,Batty M
Ephemeral Londoners: Modelling Lower Class Migration to Eighteenth Century London 2015 Dennett AR,Crymble A,Hitchcock T,Falcini L
Quantifying the Effects of Economic and Labour Market Inequalities on Inter-Regional Migration in Europe - A Policy Perspective 2014 Dennett A
Finney, N. & Catney, G. (eds) (2012) Minority internal migration in Europe, Farnham: Ashgate 2013 Dennett AR
A multilevel spatial interaction modelling framework for estimating interregional migration in Europe 2013 Dennett A,Wilson A
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Research activities

ENFOLDing: Explaining Modelling and Forecasting Global Dynamics