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.
@article{arxiv.2007.06116,
title = {Identifying Meaningful Indirect Indicators of Migration for Different Conflicts},
author = {Lisa Singh and Katharine Donato and Ali Arab and Tomas Alvarez Belon and Abraham Fraifeld and Sean Fulmer and Douglas Post and Yanchen Wang},
journal= {arXiv preprint arXiv:2007.06116},
year = {2020}
}