person · draft
Alison J. Heppenstall
Professor of Geocomputation at the University of Glasgow who builds spatial agent-based models and works on urban digital twins of populations.
Alison Heppenstall is Professor of Geocomputation at the University of Glasgow, appointed jointly to the School of Social and Political Sciences and the MRC/CSO Social and Public Health Sciences Unit.1,2 She co-directs the Urban Big Data Centre and the Systems Science Programme there, and is a Durham University alumna.2,3
Her work applies AI and machine learning to social and spatial systems, in cities, health, retail and crime.1 A focus is building urban digital twins with individual-based models, agent-based models and microsimulation, together with uncertainty quantification and data assimilation, to understand how sustainability policies affect populations.1 She held an ESRC and Alan Turing Institute fellowship on spatial agent-based models, and in 2022 the International Society of Computational Economics gave her a prize for her contribution to social simulation and agent-based modelling.2 Her 2025 Durham methods lecture was titled Learning the City: AI-Driven Approaches to Complexity.3
She is an author of Agent-Based Modelling and Geographical Information Systems and the first-named editor of Agent-Based Models of Geographical Systems.
- affiliation
- University of Glasgow
- role
- geocomputation researcher
makes
A practical primer from Crooks, Malleson, Manley and Heppenstall, 2019, on building agent-based models of people in places and linking them to GIS, with worked examples in NetLogo.
Edited volume from Heppenstall, Crooks, See and Batty, 2012, collecting the foundations, methods and applications of agent-based modelling of geographic systems.
Tags: agent-based model, geocomputation, microsimulation