论文标题
确定有意义的间接迁移指标
Identifying Meaningful Indirect Indicators of Migration for Different Conflicts
论文作者
论文摘要
该扩展摘要描述了一个正在进行的项目，该项目试图将公开可用的有机，实时行为数据，事件数据和传统迁移数据融合在一起，以确定人们在不稳定时期何时何地移动。我们提出了一种成功的方法，该方法对于一项案例研究，预测2015年至2017年伊拉克的大规模运动，并讨论我们如何将其扩展以捕获委内瑞拉运动的间接指标。
This extended abstract describes an ongoing project that attempts to blend publicly available organic, real time behavioral data, event data, and traditional migration data to determine when and where people will move during times of instability. We present a methodology that was successful for a case study predicting mass movement in Iraq from 2015 - 2017, and discuss how we are extending it to capture indirect indicators of movement in Venezuela.
