Empirical Agent-Based Modeling

Session chairs:

Dino Carpentras, laboratory of Computational Social Science ETH Zürich

Bruce Edmonds, Manchester Metropolitan University Business School and the Centre for Policy Modelling (CfPM) 


This track focuses on the connection between agent-based models and empirical data. Such a relationship is becoming progressively more important as people look to agent-based models as tools for simulating the impact of policies and interventions on real populations. This track welcomes works which establish or try to establish a stronger connection between models and empirical data using methods and approaches such as – but not limited to – empirically based simulation, independent validation checks, pattern-based validation, and cross-validation. Works which: try to develop standards for these approaches, relate to new kinds of data or suggest ways of doing this better will also be considered.