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Abstract
For models to have an impact on policy-making, they need to be used. Exploring the relationships between
policy models, model uptake and policy dynamics is the core of this article. What particular role
can policy models play in the analysis and design of policies? Which factors facilitate (inhibit) the uptake
of models by policy-makers? What are possible pathways to further develop modelling approaches
to better meet the challenges facing agriculture today? In this paper, we address these issues
from three different points of view, each of which should shed some light on the subject. The first point
of view discusses models in the framework of complex adaptive systems and uncertainty. The second
point of view looks at the dynamic interplay between policies and models using the example of modelling
in agricultural economics. The third point of view addresses conditions for a successful application
of models in policy analysis.