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Participatory modeling is increasingly recognized as an effective way to assist collective decision-making processes in the domain of natural resource management. This article introduces a framework for evaluating projects that have adopted a participatory modeling approach. This evaluation framework--known as the "Protocol of Canberra"--was developed(More)
AIMS To show how the inclusion of agent-based modelling improved the integration of ethno-epidemiological data in a study of psychostimulant use and related harms among young Australians. METHODS Agent-based modelling, ethnographic fieldwork, in-depth interviews and epidemiological surveys. SETTING Melbourne, Perth and Sydney, Australia. PARTICIPANTS(More)
This paper presents the methodology developed to collect, understand and merge viewpoints coming from different stakeholders in order to build a shared and formal representation of the studied system dealing with groundwater management in the low-lying atoll of Tarawa (Republic of Kiribati). The methodology relies on three successive stages. First, a Global(More)
BACKGROUND Agent-based simulation models can be used to explore the impact of policy and practice on drug use and related consequences. In a linked paper (Perez et al., 2011), we described SimAmph, an agent-based simulation model for exploring the use of psychostimulants and related harm amongst young Australians. METHODS In this paper, we use the model(More)
This monograph forms part of the Drug Policy Modelling Project (DPMP) Monograph Series. Drugs are a major social problem and are inextricably linked to the major socioeconomic issues of our time. Our current drug policies are inadequate and governments are not getting the best returns on their investment. There are a number of reasons why: there is a lack(More)
BACKGROUND Computer simulations provide a useful tool for bringing together diverse sources of information in order to increase understanding of the complex aetiology of drug use and related harm, and to inform the development of effective policies. In this paper, we describe SimAmph, an agent-based simulation model for exploring how individual perceptions,(More)
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