Dataset of Multi-aspect Integrated Migration Indicators

Diletta, Goglia,; Pollacci, Laura; Sîrbu, Alina

doi:10.5281/zenodo.6500885

Cited by 1 publication

(1 citation statement)

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“…Socioeconomic Indicators. Inspired by the work of [30] and the method of [15], we considered a series of socioeconomic metrics. In particular, we include information about the distance as reported in the GeoDist database [25], and a country's wealth in terms of the Gross Domestic Product (GDP) expressed in US$, provided by the World Bank [4].…”

Section: Data Collectionmentioning

confidence: 99%

From Ukraine to the World: Using LinkedIn Data to Monitor Professional Migration from Ukraine

Margherita

Paolotti

Kalimeri

2023

Proceedings of the 2023 ACM Conference on Information Technology for Social Good

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Highly skilled professionals' forced migration from Ukraine was triggered by the conflict in Ukraine in 2014 and amplified by the Russian invasion in 2022. Here, we utilize LinkedIn estimates and official refugee data from the World Bank and the United Nations Refugee Agency, to understand which are the main pull factors that drive the decision-making process of the host country. We identify an ongoing and escalating exodus of educated individuals, largely drawn to Poland and Germany, and underscore the crucial role of pre-existing networks in shaping these migration flows. Key findings include a strong correlation between LinkedIn's estimates of highly educated Ukrainian displaced people and official UN refugee statistics, pointing to the significance of prior relationships with Ukraine in determining migration destinations. We train a series of multilinear regression models and the SHAP method revealing that the existence of a support network is the most critical factor in choosing a destination country, while distance is less important. Our main findings show that the migration patterns of Ukraine's highly skilled workforce, and their impact on both the origin and host countries, are largely influenced by pre-existing networks and communities. This insight can inform strategies to tackle the economic challenges posed by this loss of talent and maximize the benefits of such migration for both Ukraine and the receiving nations.

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Section: Data Collectionmentioning

confidence: 99%