Models are often an important component of a policy development process . However , there are many different modeling techniques and many different potential roles for models within a policy process . Furthermore , modeling is a specialized skill often performed by people with limited policy experience . It can therefore be difficult for policy analysts to understand how best to use models , and for modelers to design models in the most useful way .
This paper presents a novel framework to analyze the policy issue from a modeling perspective , focusing on functionality and accuracy . Additionally , a third aspect of feasibility is briefly described . The framework is intended to provide a basis for effective discussion about how a model can contribute to policy objectives and which is the most appropriate modeling technique . It may also be useful for modelers to present their models to other participants within large policy development projects .
The paper is written for policy analysts who work with modelers but have only limited knowledge about modeling . It therefore also describes two key elements of model development : abstraction and the modeling process . While familiar to modelers , this information is necessary to provide a context for the framework as well as shared understanding between modelers and policy developers . Abstraction involves substantial
Research Fellow , Centre for Research in Social Simulation , University of Surrey�