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Merging Remote Sensing Data and Population Surveys in Large , Empirical Multiagent Models : The Case of the Afghan Drug Industry

Links between licit and illicit economies fuel processes of conflict in countries mired in irregular warfare. However, it is often infeasible to gather demographic and economic data in the war zone that illuminate such links. Combining remote sensing data with local surveys offers an alternative to direct data collection. We present and validate an implementation of such an approach in order to recover an agentized household representation of the rural population in Afghanistan where poppy cultivation and opium trafficking have influenced the course of the current conflict significantly.