Nick Malleson's Homepage

Conference Presentations

2024

• Interrogating the Spatio-Temporal Dynamics of Urban Footfall using Principal Component Analysis. Presentation to GIS Research UK (GISRUK ‘24), University of Leeds, 9-12 April 2024.

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2023

• Agent-Based Modelling. Invited presentation to the White Rose Social Sciences Doctoral Training Partnership Advanced Methods Showcase, 17th January 2024.

• Using Machine Learning to Predict Perceptions of a Motorbike Ban in Hanoi. Presentation to GIS Research UK (GISRUK ‘23), University of Glasgow, 19-21 April 2023.

• Presentations from the dust project to the Sustainable and equitable cities and regions for a net zero world conference, University of St Andrews and the Alan Turing Institute. 17-18 October, St Andrews, UK:
  • 1. Yanhua Xu: Time Series Clustering for Analysing Pedestrian Footfall Patterns.
  • 1. Molly Asher: Predicting Pedestrian Counts using Machine Learning.
  • 1. Jayita Chakraborty: Impact of demand-supply dynamics on the empty travel distance of ridesourcing drivers in an urban environment.
  • 1. Keiran Suchak. Real-Time Pedestrian Simulation
  • 1. Jack Liddle: Melbourne Pedestrian Counts. What do have? What can we do with this?.
  • 1. Nick Malleson: Real-Time Forecasting of Uncertian ABMs with Approximate Bayesian Computation.

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• Using Approximate Bayesian Computation to Infer Disease Parameter Uncertainty in a COVID-19 Microsimulation. Presentation to the 18th Social Simulation Conference, 4-8 September, University of Glasgow, UK. Slides (pdf). Full paper: https://www.nature.com/articles/s41598-023-35580-z.

• Economic prediction in real-time? Or an agent-based model with Ensemble Kalman Filter for the US wealth distribution. Presentation to the Ninth Meeting of the German Network for New Economic Dynamics (GENED), 4th-6th October, Bamberg. Slides (pdf).

• Predicting Pedestrian Counts using Machine Learning. Presentation to the Association of Geographic Information Laboratories in Europe (AGILE) annual conference. Delft, the Netherlands, 13-16 June 2023. Slides (pdf). DOI: 10.5194/agile-giss-4-18-2023

• Virtual Mirrors or Smoke and Mirrors? Can Urban Digital Twins Make Cities Better?. Keynote presentation to GIS Research UK (GISRUK ‘23), University of Glasgow, 19-21 April 2023. (Shorter version also presented at the CDRC Data Partner Forum on 23rd October 2013).

2022

• Up-scaling a Spatial Survey with Propensity Score Matching: Implications of a Motorbike Ban in Hanoi. Presentation to GIS Research UK (GISRUK), 5-8 April, Liverpool University. Abstract (pdf).

• Data Assimilation for Agent-Based Models. Invited presentation by Nick Malleson and Patricia Ternes to the workshop on Data-driven economic agent-based models (DDEABM), at the at Sant’Anna School of Advanced Studies, Pisa, 27-28 September 2022.

• Simulating social systems with individual-based models: is worth it?. Invited presentation by Alison Heppenstall and Nick Malleson to the GIScience Colloquium, Institute of Geography, University of Augsburg, 14th July 2022.

• Challenges for ABM in Applied Urban Modelling. Presentation by Nick Malleson, Ed Manley and Alison Heppenstall for the Applied Urbam Modelling (AUM) conference, 29th June – 1st July, University of Cambridge, UK. [PDF (slides)]

2021

• Urban Data Science for Sustainable Transport Policies in Emerging Economies GIScience, 27-30 September 2021, Poznan (online). DOI: 10.25436/E28G6D. PDF.

• Quantifying the uncertainty in agent-based models. Invited presentation by Josie McCulloch, Alison Heppenstall and Nick Malleson for the Alan Turing Institute Multi-agent systems group, 23rd September 2021.

• Simulating Society with Agent-Based Modelling and Microsimulation. DWP ‘Sparkle Talk’, 14th September, 2021.

• Quantifying the uncertainty in agent-based models. Keynote presentation by Alison Heppenstall and Nick Malleson at the ESSA Social Simulation Festival 2021, 17th March 2021.

• Ambient populations: Developing robust estimates. Presentation by Annabel Whipp and Nick Malleson as part of the Engineering Mathematics Seminar Series at the Department of Engineering Mathematics, University of Bristol, 3rd March 2021. [PDF]

2020

• Simulating the City with Agent-Based Modelling. Invited presentation to AI UK - Smart cities at the Alan Turing Institute. 28 September 2020. Also presented at the Digital Catapult seminar on Agent-Based Modelling for Policy (slides here), 5th October 2020.

• Reducing Uncertainty in Agent-Based Simulations through Real-Time Data Assimilation. Presentation to the Reliability and Reproducibility in Computational Science workshop at the Alan Turing Institute, London, 24 Jan 2020.

2019

• Identifying the appropriate spatial resolution for the analysis of crime patterns. Presentation to GIS Research UK (GISRUK), 23-26 April, Newcastle University. Abstract (pdf).

• Quantifying Uncertainty in Agent-Based Models for Smart City Forecasts. Presentation by Robert Clay to the Alan Turing Institute, London, 24 September 2019.

• Simulating Pedestrian Systems in Real Time using Agent-Based Models. Presentation to the the MacArthur Workshop on Urban Modelling & Complexity Science, Centre for Advanced Spatial Analysis, UCL, 19-20 September 2019.

• Dynamic Simulation Models and Digital Twins of Urban Systems. Presentation to the Artificial Intelligence for Cities workshop. University of Leeds (Nexus), 18th June 2019.

• Simulating Crowds in Real-Time with Agent-Based Modelling and a Particle Filter. Presentation to the 27th GIS Research UK (GISRUK), Newcastle, 23rd-26th April 2019. Proceedings.

• Dynamic Simulation Models, Data Assimilation and Uncertainty. Presentation to the workshop ‘A Blueprint for Urban Analytics’. Newcastle University, 11-12 April 2019.

• Dynamic Simulation Models & Data Assimilation. Keynote presentation for the DREAM CDT Symposium, University of Birmingham. 19-21 March 2019.

2018

• Simulating cities with streaming data and a suite of (agent-based?) models. Presentation to the Virtuocity workshop, Leeds, 4 Dec 2018.

• Simulating cities with streaming (big?) data and agent-based modelling. Presentation at the Leeds Institute for Data Analytics (LIDA) research showcase. 13th September 2018.

• Simulating Urban Flows of Daily Routines of Commuters. Presentation to the 3rd International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), part of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). 10-15 July, Stockholm. Full abstract (pdf). Slides (pdf).

• Understanding Input Data Requirements and Quantifying Uncertainty for Successfully Modelling ‘Smart’ Cities. Presentation to the 3rd International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), part of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). 10-15 July, Stockholm. Full abstract (pdf).

• Agent-Based Models. Presentation to the Institute for Transport Studies, University of Leeds.

• Dynamic Simulation Models for Crime Analysis and Urban Flows. Invited presentation to the Lancaster Environment Centre, University of Lancaster, 14th May 2018.

• CDRC Research: Modelling Smart Cities. Presentation to the CDRC Innovation Forum. 27th April 2017, Leeds Institute for Data Analytics.

• Calibrating an Agent-Based Model of the Ambient Population using Big Data. Presentation to the Association of American Geographers (AAG), 10th – 15th April, New Orleans, as part of the Special Sessions on Innovations in Urban Analytics.

• Forecasting Short-Term Urban Dynamics: Emerging Research and Challenges. Presentation to the Association of American Geographers (AAG), 10th – 15th April, New Orleans, as part of the Special Sessions on Innovations in Urban Analytics.

2017

• Crime Analytics and the Role of Dynamic Simulation Models. Invited presentation to the Netherlands Institute for the Study of Crime and Law Enforcement (NSRC) - 21st November, 2017, Amsterdam.

• Forecasting Short-Term Urban Dynamics: Data Assimilation for Agent-Based Modelling. Presentation to the Social Simulation Conference - the 13th Annual Conference of the European Social Simulation Association (ESSA). 25-29 September 2017, Dublin, Ireland.

• Quantifying the Ambient Population using Big Data and Agent-Based Modelling. Presentation to the European Colloquium on Theoretical and Quantitative Geography (ECTQG) 7-11 September, 2017, York, UK.

• Quantifying Personal Pollution Impacts to Inform Transport Scheme Innovation through New Generation Mobility Data. Presentation to the European Colloquium on Theoretical and Quantitative Geography (ECTQG) 7-11 September, 2017, York, UK.

• Simulating Urban Flows. Presentation to GeoComputation 2017, 4-7 September, Leeds, UK.

• Urban Analytics: Example projects from LIDA. Invited presentation to the Office for National Statistics, 27th July, Titchfield.

• Quantifying the Ambient Population. Presentation at the CDRC Data Partner Forum, 25th May, Leeds Institute for Data Analytics.

• Simulation as the Catalyst for Geographical Data Science and Urban Policy Making. Presentation to the Association of American Geographers (AAG), 4th – 8th April, Boston, as part of the Special Sessions on Geographic Data Science.

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2016

• Dynamic, data-driven, agent-based modelling for simulating cities: Understanding Crime and Pollution Invited presentation to the Office for National Statistics (ONS) Big Data Campus, Titchfield. 1 December 2016.

• Crime Mapping, Crime Predictors, and Crime Simulation Invited presentation to the Crime and Policing Analysis group at the Home Office, London. 15th November 2016.

• Crime Analytics and the Role of Dynamic Simulation Models Presentation as part of the Crime Analytics LIDA Seminar. 20th October 2016.

• Simulating Urban Flows to Estimate the Disease Burden of Air Pollution Presentation to the Royal Geographical Society Annual International Conference. 30 August - 2 September. Urban Analytics session. (31st August 2016)

• Agent-Based Modelling, the Next 20 Years: Dynamic Data Assimilation Presentation to the Royal Geographical Society Annual International Conference. 30 August - 2 September. Session: The Future of Geocomputation. (31st August 2016)

• SENSEable cities PK. A short presentation about the work I would like to do during my research visit to the SENSEable cities lab at MIT.

• Dynamic, data-driven agent-based models for simulating cities. An invited presentation to the MIT Media Lab. (19th July 2016)

• Exploring the Impact of Ambient Population Measures on Crime Hotspots. Presentation to the Association of American Geographers (AAG), 29th March – 2nd April, San Francisco.

• Agent-Based Modelling, Ambient Populations and Models of Burglar Behaviour. Presentation to the N8 Policing Research Partnership Data Analysis, Management and Crime Mapping Workshop, 30 September 2017, Leeds UK

Conference sessions organised / chaired:

2018

• Organiser: Special Sessions on Innovations in Urban Analytics at the Association of American Geographers (AAG) Annual Meeting, 10th – 15th April, New Orleans. Also Chair of the panel session.
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2017

• Organiser: Special Sessions on: Geographic Data Science. Sessions organised as part of the Association of American Geographers (AAG), Tue 4th - Sun 9th April 2017, Boston.

• Also Chair of Geographic Data Science Panel Session. The panelists were: David O’Sullivan; Alex Singleton; Luc Anselin; Daniel Arribas-Bel; Mark Birkin; Cheng Zhong; Andrew Crooks; Ran Wei.

• Symposium on Human Dynamics in Smart and Connected Communities: Agents - the ‘atomic unit’ of social systems?. Sessions organised as part of the Association of American Geographers (AAG), Tue 4th - Sun 9th April 2017, Boston.

2016

• Urban Analytics (31st August 2016). Royal Geographical Society Annual International Conference, 30 August - 2 September.

• The Future of Geocomputation. (31st August 2016). Royal Geographical Society Annual International Conference. 30 August - 2 September.

• Urban Analytics. Association of American Geographers (AAG), 29th March – 2nd April, San Francisco.

• Crime / Fear in Space and Time. Association of American Geographers (AAG), 29th March – 2nd April, San Francisco.

Other material

• AGILE PhD School 2017: Agent-Based Modelling.