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Blog

  • 20 Feb 2024 » Final Project Report
  • 13 Oct 2022 » Sources of Footfall / Pedestrian data
  • 06 Jun 2022 » New ABM papers on data assimilation and emulation
  • 10 Jan 2022 » Emulating Stochastic Models
  • 16 Aug 2021 » New paper: Real-Time Crowd Modelling
  • 22 Mar 2021 » SocSim Keynote: Quantifying the uncertainty in agent-based models
  • 03 Mar 2021 » Ambient populations: Developing robust estimates
  • 27 May 2020 » Building Cities from Slime Mould, Agents and Quantum Field Theory
  • 20 Apr 2020 » Special Issue: Innovations in Spatial ABMs
  • 10 Mar 2020 » Pedestrian Simualtion Software Review
  • 17 Jan 2020 » New Paper: Real-time Bus Simulation with a Particle Filter
  • 23 Sep 2019 » New Preprint: Real-time Crowd Simulation with a Particle Filter
  • 02 Sep 2019 » New Preprint: Dealing with uncertainty in agent-based models for short-term predictions
  • 29 Aug 2019 » Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based Model: Early Progress
  • 22 Jul 2019 » Project Updates: Probabilistic ABMs and Data Assimilation
  • 11 Jun 2019 » Post-Doctoral Research Fellow: Simulating Urban Systems
  • 01 May 2019 » Particle Filters for Smart City Forecasts
  • 18 Mar 2019 » Research Fellow - Simulating Urban Systems
  • 14 Mar 2019 » Urban Analytics Blueprint - Newcastle
  • 15 Jul 2018 » ABMUS 2018
  • 09 Jul 2018 » Welcome
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This is the website for the dust project, developing methods to support city simulation