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