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Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees

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  • Jurić, Tado

Abstract

This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Using insights from social-media platforms such as Facebook, Instagram, and YouTube is useful, because data here are available faster than any official data in the refugee crisis triggered by the Russian attack on Ukraine on 24 February 2022.

Suggested Citation

  • Jurić, Tado, 2022. "Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(3), pages 540-553.
    • Handle: RePEc:zbw:espost:265541
    DOI: 10.1515/soeu-2022-0048
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    1. Jurić, Tado, 2022. "Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(1), pages 125-152.
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