activity
20142026
most citedSimulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter

31 citations · 69 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2026

Design of policy digital twins incorporating multi-level agent based modelling

Matt Tipuric, Alejandro Beltran, Nick Malleson +2

Digital twins are used across many industries to enable better decision making. However, while policy makers at all levels (including city, national and supranational scales) have…

cs.MA2023

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

Global problems, such as pandemics and climate change, require rapid international coordination and diffusion of policy. These phenomena are rare however, with one notable example…

cs.MA2022★ 23 cited

Agent-Based Modelling for Urban Analytics: State of the Art and Challenges

Nick Malleson, Mark Birkin, Daniel Birks +5

Agent-based modelling (ABM) is a facet of wider Multi-Agent Systems (MAS) research that explores the collective behaviour of individual `agents', and the implications that their be…

cs.MA2022

Data assimilation with agent-based models using Markov chain sampling

Daniel Tang, Nick Malleson

Every day, weather forecasting centres around the world make use of noisy, incomplete observations of the atmosphere to update their weather forecasts. This process is known as dat…

cs.LG2022★ 5 cited

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

Oscar Giles, Kasra Hosseini, Grigorios Mingas +13

Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…

stat.AP2021

gwverse: a template for a new generic Geographically Weighted Rpackage

Alexis Comber, Chris Brunsdon, Martin Callaghan +3

GWR is a popular approach for investigating the spatial variation in relationships between response and predictor variables, and critically for investigating and understanding proc…

stat.ME2019

Point Pattern Processes and Models

Nik Lomax, Nick Malleson, Le-Minh Kieu

In recent years there has been a substantial increase in the availability of datasets which contain information about the location and timing of an event or group of events and the…

cs.MA2019★ 31 cited

Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter

Nick Malleson, Kevin Minors, Le-Minh Kieu +3

Agent-based modelling is a valuable approach for systems whose behaviour is driven by the interactions between distinct entities. They have shown particular promise as a means of m…

stat.ME2014★ 10 cited

Geotagged tweets to inform a spatial interaction model: a case study of museums

Robin Lovelace, Nick Malleson, Kirk Harland +1

This paper explores the potential of volunteered geographical information from social media for informing geographical models of behavior, based on a case study of museums in Yorks…