Agent-based modelling for policy design

Agent-based modelling for policy design // Adam Formica, School of Geography and the Environment, University of Oxford
Policy is described as an experiment in action: interventions are designed based on best-available knowledge and modified following studies of their effectiveness and lessons-learnt. ABM opens the prospect of modelling and exploring different policy scenarios. In addition, it creates a structured framework for identifying underlying casual assumptions and for collation of policy-relevant knowledge. This seminar will introduce the techniques, concepts and prospects through case studies of the Oxford Martin Programme on Sustainable Oceans and strategies to combat ivory poaching in African parks.