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