2020/07/12 by Lisa Singh, Katharine M. Donato, Singh, Lisa +15
Computer Science · Medicine · Social Sciences · #Computers and Society (cs.CY) #Crime, Illicit Activities, and Governance #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #cs.CY
paper · pdf · doi:10.48550/arxiv.2007.06116
3 pages ACM Humanitarian Workshop - KDD 2020
arxiv created 2020/07/12 · openalex publication_date 2020/07/12 · arxiv updated 2020/07/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.