@inproceedings{bee129c5e83f4a65a7f600be4376cf73,
title = "Modeling Forced Migration: A System Dynamic Approach",
abstract = "Forced migration of populations is a topic of increasingly national and international importance due to security, international relations, and humanitarian considerations. Despite its importance, there has been a dearth of quantitative research to support modeling and simulation of this topic, thus hindering our ability to better understand this phenomenon. Motivated by this gap, this research leverages the recent availability of diverse set of data related to forced migration, including regime legitimacy, violence, human rights violations, conflict, socio-political mobilization, intervening opportunities, and social media. The purpose of this article is to explore the applicability and utility of open-source data in a system dynamics model to forecast population displacement, and to illustrate the benefits of using a system dynamics approach to modeling displaced population on a national and international scale. Our results suggest that this proposed approach can be used to understand such migration processes and simulate possible scenarios.",
keywords = "forced migration, Middle East, prediction model, refugee, system dynamics",
author = "Troy Curry and Arie Croitoru and Andrew Crooks",
note = "Publisher Copyright: {\textcopyright} 2023 SCS.; 2023 Annual Modeling and Simulation Conference, ANNSIM 2023 ; Conference date: 23-05-2023 Through 26-05-2023",
year = "2023",
language = "English",
series = "Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--121",
editor = "Blas, \{Maria Julia\} and Gonzalo Alvarez",
booktitle = "Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023",
address = "United States",
}