Policy as linear and nonlinear science

Abstract

Three well known case studies are used to explore the limits of science in policy implementation. The analysis in this research maps significant events in the case studies and associates these with policy or non‐policy influence. Sources of uncertainty are described and the science of chaos introduced as a possible interpretive framework for extending policy science.