COMPUTATIONAL SOCIAL SCIENCE

Department of Computational Social Science Seminar Abstract

Friday, September 17: 3:00pm

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

Maciek M. Latek, CSS PhD Candidate
Seyed M.M. Rizi, CSS PhD Candidate

On Friday, September 17, Maciej Latek and Seyed Rizi will present “Merging Remote Sensing Data and Population Surveys in Large, Empirical Multiagent Models: The Case of the Afghan Drug Industry” a project they have been working on with Armando Geller, Research Faculty.

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 in influenced the course of the current conflict significantly.