Nik Lomax
Professor of Population Geography
University of Leeds
Quantitative methods, spatial data and small-area models applied to migration, spatial inequalities in health, and the consequences of policy.
Professor of Population Geography
University of Leeds
Quantitative methods, spatial data and small-area models applied to migration, spatial inequalities in health, and the consequences of policy.
I am a quantitative population geographer interested in how populations change and why opportunities and outcomes differ from place to place. I work with spatial data, large administrative and survey datasets, and small-area models to study migration and residential mobility, spatial inequality in health, and the consequences of policy.
A central strand of the work is simulation: synthetic populations that represent individuals and households at fine spatial scale, and dynamic microsimulation and agent-based models that estimate how policy assumptions play out for particular groups and geographies. Underpinning it is a commitment to shared data products and open, reproducible methods, alongside the 'smart' data sources that reveal behaviours traditional sources cannot.
Who moves where, and how internal migration and mobility reshape the demographic makeup of local areas over time.
Classifying places by the inclusiveness of their local economies, and testing how that relates to life expectancy and lifespan inequality across different welfare systems.
Synthetic populations at fine spatial scale, with dynamic microsimulation and agent-based models of how policy plays out for particular groups and geographies.
Shared data products and research infrastructure, plus consumer, wearable and mobile phone data to understand behaviours in ways traditional sources cannot.
Full list also on Google Scholar ↗