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) 

Description:

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.