Presentations
Presentations about, or relating to, the dust project (most recent first)
2024
Y. Oswald, N. Malleson and K. Suchak (2024). An Agent-Based Model of the 2020 International Policy Diffusion in Response to the COVID-19 Pandemic with Particle Filter. Journal of Artificial Societies and Social Simulation 27(2) 3. https://www.jasss.org/27/2/3.html. DOI: 10.18564/jasss.5342
2023
- Presentations 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.
- Yanhua Xu: Time Series Clustering for Analysing Pedestrian Footfall Patterns.
- Molly Asher: Predicting Pedestrian Counts using Machine Learning.
- Jayita Chakraborty: Impact of demand-supply dynamics on the empty travel distance of ridesourcing drivers in an urban environment.
- Keiran Suchak. Real-Time Pedestrian Simulation
- Jack Liddle: Melbourne Pedestrian Counts. What do have? What can we do with this?.
- 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.
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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).
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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
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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.
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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.
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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
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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.
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Simulating Society with Agent-Based Modelling and Microsimulation. DWP ‘Sparkle Talk’, 14th September, 2021.
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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.
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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
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Towards Real-time Crowd Simulation Under Uncertainty using an Agent-Based Model and an Unscented Kalman Filter. Presentation by Robert Clay to the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), 6-8 October, 2020. Paper available in The PAAMS Collection (Lecture Notes in Computer Science) 12092: 68-79. DOI: 10.1007/978-3-030-49778-1_6 [PDF]
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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.
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Building cities from slime mould, agents and quantum field theory. Keynote presentation by Alison Heppenstall to AAMAS 2020. Abstract (pdf). DOI: 10.5555/3398761.3398765.
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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
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Quantifying Uncertainty in Agent-Based Models for Smart City Forecasts. Presentation by Robert Clay to the Alan Turing Institute, London, 24 September 2019.
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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.
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Simulating the City. Presentation by Alison Heppenstsall to the Leeds Institute for Data Analytics (LIDA) research showcase. University of Leeds, 17th September 2019.
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Dynamic Simulation Models and Digital Twins of Urban Systems. Presentation to the Artificial Intelligence for Cities workshop. University of Leeds (Nexus), 18th June 2019.
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Reducing the impacts of uncertainty in agent-based models for real-time applications. Presentation to the 4th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), part of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). 13-17 May, Montreal.
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State Estimation and Data Assimilation for an Agent-Based Model using a Probabilistic Framework. Presentation to the 4th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), part of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). 13-17 May, Montreal.
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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.
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Dynamic Simulation Models, Data Assimilation and Uncertainty. Presentation to the workshop ‘A Blueprint for Urban Analytics’. Newcastle University, 11-12 April 2019.
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Dynamic Simulation Models & Data Assimilation. Keynote presentation for the DREAM CDT Symposium, University of Birmingham. 19-21 March 2019.
2018
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Simulating cities with streaming data and a suite of (agent-based?) models. Presentation to the Virtuocity workshop, Leeds, 4 Dec 2018.
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Simulating cities with streaming (big?) data and agent-based modelling. Presentation at the Leeds Institute for Data Analytics (LIDA) research showcase. 13th September 2018.
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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).