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Mobile phone data reveal the effects of violence on internal displacement in Afghanistan

Political Science

Mobile phone data reveal the effects of violence on internal displacement in Afghanistan

X. H. Tai, S. Mehra, et al.

Discover how the innovative use of high-frequency mobile phone data reveals the profound impact of violence on internal displacement in Afghanistan. This insightful research, conducted by Xiao Hui Tai, Shikhar Mehra, and Joshua E. Blumenstock, uncovers the dynamics of conflict-induced migration and highlights the promise of non-traditional data sources in policymaking.

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~3 min • Beginner • English
Abstract
Nearly 50 million people globally have been internally displaced due to conflict, persecution and human rights violations. However, the study of internally displaced persons—and the design of policies to assist them—is complicated by the fact that these people are often underrepresented in surveys and official statistics. We develop an approach to measure the impact of violence on internal displacement using anonymized high-frequency mobile phone data. We use this approach to quantify the short- and long-term impacts of violence on internal displacement in Afghanistan, a country that has experienced decades of conflict. Our results highlight how displacement depends on the nature of violence. High-casualty events, and violence involving the Islamic State, cause the most displacement. Provincial capitals act as magnets for people fleeing violence in outlying areas. Our work illustrates the potential for non-traditional data sources to facilitate research and policymaking in conflict settings.
Publisher
Nature Human Behaviour
Published On
May 12, 2022
Authors
Xiao Hui Tai, Shikhar Mehra, Joshua E. Blumenstock
Tags
internal displacement
violence
mobile phone data
Afghanistan
Islamic State
high-casualty events
non-traditional data sources
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