Predicting refugee flows from Ukraine with an approach to Big (Crisis) Data: a new opportunity for refugee and humanitarian studies.

Juric, Tado (2022), Athens Journal of Τechnology & Engineering

 

“This paper shows that Big Data and the so-called tools of digital demography, such as Google Trends (GT) and insights from social networks such as Instagram, Twitter and Facebook, can be useful for determining, estimating, and predicting the forced migration flows to the EU caused by the war in Ukraine.”

https://doi.org/10.1101/2022.03.15.22272428

Topics:
Migration Humanitarian law Gender Economy Displacement Sites European Union Shelter Refugee Pole opinion Health Mental health Nato Emergency Shelters poverty Integration Coordination Supply chain Healthcare UNHCR Sanctions Armed forces Displacement Discrimination Humanitarian Response Plan Humanitarian Actions Humanitarian aid Russia Language NGO Forced Displacement disinformation Inflation Crimea Putin Policy Humanitarian crisis Age Donbas education Collaboration refugees Training Military Employment Conflict