Agent-Based Modelling for Policy Analysis
Wednesday 16th January 2019, 09:30 - 17:30 (registration 09:00)
University of Surrey, Guildford, UK
This course is part of the CECAN Module for policy analysts and evaluators. The syllabus was developed to enhance skills nationally and internationally in the evaluation of complex policy and programmes.
Agent-based modelling is a computational simulation method for understanding complex systems. An agent-based model is a computer model simulating the interrelationships and interactions of components of a system over time. These models are particularly good at modelling the heterogeneity and interaction of a population, tackling emergence and feedback loops and dealing with non-linear relationships. The course will cover aspects of model purpose and design, the use of data for model calibration and validation, and consider how to interpret and communicate modelling results in the social sciences and policy research. Attendees will also get a chance to build a simple model themselves.