ERD

Periodic Reporting for period 4 - DUST (Data Assimilation for Agent-Based Models: Applications to Civil Emergencies)

Project: DUST

Updated at: 15-06-2024

Show more information

Project acronym DUST

Towards real-time predictions using emulators of agent-based models

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Agent-based modelling for Urban Analytics: State of the art and challenges

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Agent-based modelling for Urban Analytics: State of the art and challenges

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Modeling agent decision and behavior in the light of data science and artificial intelligence

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Calibrating Agent-Based Models Using Uncertainty Quantification Methods

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filte...

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Data assimilation in Agent-based models using creation and annihilation operators

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

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

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Predicting Pedestrian Counts using Machine Learning

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Challenges, tasks, and opportunities in modeling agent-based complex systems

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Data assimilation with agent-based models using Markov chain sampling

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Towards the development of societal twins

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Dealing with uncertainty in agent-based models for short-term predictions

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Dealing with uncertainty in agent-based models for short-term predictions

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

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

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Building Cities from Slime Mould, Agents and Quantum Field Theory

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Finding the maximum-a-posteriori behaviour of agents in an agent-based model

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

A stochastic schedule-following simulation model of bus routes

Project: DUST

Updated at: 27-04-2024

Show more information

Project acronym DUST

Resources

Selected filters:

Periodic Reporting for period 4 - DUST (Data Assimilation for Agent-Based Models: Applications to Civil Emergencies)

Towards real-time predictions using emulators of agent-based models

Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread

Agent-based modelling for Urban Analytics: State of the art and challenges

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Agent-based modelling for Urban Analytics: State of the art and challenges

Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters

Modeling agent decision and behavior in the light of data science and artificial intelligence

Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter

Calibrating Agent-Based Models Using Uncertainty Quantification Methods

An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filte...

Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review

Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Data assimilation in Agent-based models using creation and annihilation operators

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

Predicting Pedestrian Counts using Machine Learning

Challenges, tasks, and opportunities in modeling agent-based complex systems

Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources

Data assimilation with agent-based models using Markov chain sampling

Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility

Towards the development of societal twins

Dealing with uncertainty in agent-based models for short-term predictions

Dealing with uncertainty in agent-based models for short-term predictions

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

Building Cities from Slime Mould, Agents and Quantum Field Theory

Finding the maximum-a-posteriori behaviour of agents in an agent-based model

A stochastic schedule-following simulation model of bus routes