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