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INTRODUCTION System dynamics (SD) modelling aims to describe the causal structure and behaviour of a complex dynamic problem to propose policies that lead to lasting improvement in system behaviour. For this task SD modellers can draw on information from mental, written and numerical sources (Forrester, 1980, 1992). Written data bridges the gap between sparsely available numerical data and the rich, but hidden, world of mental data.
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