Computer Simulations of Criminal Deterrence: from Public Policy to Local Interaction to Individual Behaviour by Pieter Van Baal. - Nick Malleson (J. Artif. Soc. Soc. Simul., 2007)

Crime reduction through simulation: An agent-based model of burglary. - Nick Malleson; Alison J. Heppenstall; Linda M. See (Comput. Environ. Urban Syst., 2010)

Calibration of a spatial simulation model with volunteered geographical information. - Mark H. Birkin; Nick Malleson; Andrew Hudson-Smith; Steven Gray 002; Richard Milton (Int. J. Geogr. Inf. Sci., 2011)

Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. - Nick Malleson; Linda M. See; Andy Evans; Alison J. Heppenstall (Simul., 2012)

Analysis of crime patterns through the integration of an agent-based model and a population microsimulation. - Nick Malleson; Mark H. Birkin (Comput. Environ. Urban Syst., 2012)

The Classification of Space-Time Behaviour Patterns in a British City from Crowd-Sourced Data. - Mark H. Birkin; Kirk Harland; Nicolas Malleson (ICCSA (4), 2013)

Geotagged tweets to inform a spatial interaction model: a case study of museums. - Robin Lovelace; Nick Malleson; Kirk Harland; Mark H. Birkin (CoRR, 2014)

Spatial microsimulation modeling for residential energy demand of England in an uncertain future. - Chengchao Zuo; Mark H. Birkin; Nicolas Malleson (Geo spatial Inf. Sci., 2014)

An Examination of Personal Mobility Patterns in Space and Time Using Twitter. - Mark H. Birkin; Kirk Harland; Nicolas Malleson; Philip Cross; Martin Clarke (Int. J. Agric. Environ. Inf. Syst., 2014)

Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars. - Nick Malleson; Linda See; Andrew J. Evans; Alison J. Heppenstall (Theories and Simulations of Complex Social Systems, 2014)

"Space, the Final Frontier": How Good are Agent-Based Models at Simulating Individuals and Space in Cities? - Alison J. Heppenstall; Nick Malleson; Andrew T. Crooks (Syst., 2016)

Enhancing Energy, Health and Security Policy by Extracting, Enriching and Interfacing Next Generation Data in the Transport Domain (A Study on the Use of Big Data in Cross-Sectoral Policy Development). - Susan Grant-Muller; Frances Hodgson; Nick Malleson; Robert Snowball (BigData Congress, 2017)

The characteristics of asymmetric pedestrian behavior: A preliminary study using passive smartphone location data. - Nick Malleson; Anthony Vanky; Behrooz Hashemian; Paolo Santi; Santosh K. Verma; Theodore Courtney; Carlo Ratti (Trans. GIS, 2018)

Dealing with uncertainty in agent-based models for short-term predictions. - Le-Minh Kieu; Nicolas Malleson; Alison J. Heppenstall (CoRR, 2019)

Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility. - Tomas Crols; Nick Malleson (GeoInformatica, 2019)

Diversity and burglary: Do community differences matter? - Usman Lawal Gulma; Andy Evans; Alison J. Heppenstall; Nick Malleson (Trans. GIS, 2019)

Building Cities from Slime Mould, Agents and Quantum Field Theory. - Alison J. Heppenstall; Nick Malleson (AAMAS, 2020)

Towards the Development of Societal Twins. - Dan Birks; Alison J. Heppenstall; Nick Malleson (ECAI, 2020)

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter. - Robert Clay; Le-Minh Kieu; Jonathan A. Ward; Alison J. Heppenstall; Nick Malleson (PAAMS, 2020)

Minimum geocoding match rates: an international study of the impact of data and areal unit sizes. - Martin A. Andresen; Nick Malleson; Wouter Steenbeek; Michael K. Townsley; Christophe Vandeviver (Int. J. Geogr. Inf. Sci., 2020)

Estimating Spatio-Temporal Risks from Volcanic Eruptions Using an Agent-Based Model. - Jumadi; Nick Malleson; Steve Carver; Duncan Quincey (J. Artif. Soc. Soc. Simul., 2020)

Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. - Nick Malleson; Kevin Minors; Le-Minh Kieu; Jonathan A. Ward; Andrew A. West; Alison J. Heppenstall (J. Artif. Soc. Soc. Simul., 2020)

Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review. - Nan Cui; Nick Malleson; Victoria Houlden; Alexis J. Comber (ISPRS Int. J. Geo Inf., 2021)

Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources. - Annabel Whipp; Nicolas Malleson; Jonathan A. Ward; Alison J. Heppenstall (ISPRS Int. J. Geo Inf., 2021)

Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter. - Robert Clay; Jonathan A. Ward; Patricia Ternes; Le-Minh Kieu; Nick Malleson (Simul. Model. Pract. Theory, 2021)

A data-driven agent-based simulation to predict crime patterns in an urban environment. - Raquel Rosés; Cristina Kadar; Nick Malleson (Comput. Environ. Urban Syst., 2021)

Handling the MAUP: methods for identifying appropriate scales of aggregation based on measures on spatial and non-spatial variance. - Alexis J. Comber; Paul Harris 002; Kristina Bratkova; Phe Huu Hoang; Le Minh Kieu; Quang-Thanh Bui; Thi Thuy Hang Nguyen; Eric Wanjau; Nick Malleson (AGILE Conf., 2022)

Agent-based modelling for Urban Analytics: State of the art and challenges. - Nick Malleson; Mark H. Birkin; Daniel Birks; Jiaqi Ge; Alison J. Heppenstall; Ed Manley; Josie McCulloch; Patricia Ternes (AI Commun., 2022)

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. - Oscar Giles; Kasra Hosseini; Grigorios Mingas; Oliver Strickson; Louise Bowler; Camila Rangel Smith; Harrison Wilde; Jen Ning Lim; Bilal A. Mateen; Kasun Amarasinghe; Rayid Ghani; Alison J. Heppenstall; et al. (CoRR, 2022)

Data assimilation with agent-based models using Markov chain sampling. - Daniel Tang; Nick Malleson (CoRR, 2022)

Calibrating Agent-Based Models Using Uncertainty Quantification Methods. - Josie McCulloch; Jiaqi Ge; Jonathan A. Ward; Alison J. Heppenstall; J. Gareth Polhill; Nick Malleson (J. Artif. Soc. Soc. Simul., 2022)

Predicting Pedestrian Counts using Machine Learning. - Molly Asher; Yannick Oswald; Nick Malleson (AGILE Conf., 2023)

The impact of the COVID-19 pandemic on the dynamics of topics in urban green space. - Nan Cui; Nick Malleson; Victoria Houlden; Alexis J. Comber (AGILE Conf., 2023)

Modeling agent decision and behavior in the light of data science and artificial intelligence. - Li An; Volker Grimm; Yu Bai; Abigail Sullivan; Billie L. Turner II; Nicolas Malleson; Alison J. Heppenstall; Christian Ernest Vincenot; Derek T. Robinson; Xinyue Ye; Jianguo Liu; Emilie B. Lindkvist; et al. (Environ. Model. Softw., 2023)

Using social media data to identify neighbourhood change. - Alexis J. Comber; Le Minh Kieu; Quang-Thanh Bui; Nick Malleson (AGILE Conf., 2024)

Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution? - Hyesop Shin; Eric Silverman; Alison J. Heppenstall; Nick Malleson; Mario Ilic; Sonali Abeysinghe; Tabea S. Sonnenschein (MABS, 2024)

An Agent-Based Model of the 2020 International Policy Diffusion in Response to the COVID-19 Pandemic with Particle Filter. - Yannick Oswald; Nick Malleson; Keiran Suchak (J. Artif. Soc. Soc. Simul., 2024)

Towards real-time predictions using emulators of agent-based models. - Le-Minh Kieu; Hoang Nguyen 002; Jonathan A. Ward; Nick Malleson (J. Simulation, 2024)

Digital twins and AI for healthy and sustainable cities. - Mark H. Birkin; Patrick Ballantyne; Seth Bullock; Alison J. Heppenstall; Heeseo Kwon; Nick Malleson; Jing Yao; Anna Zanchetta (Comput. Environ. Urban Syst., 2025)