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How Can Big Data Analytics Help Understand Migrant Integration?

Adequate data are key for evidence-based policymaking. However, while a large amount of official statistics is produced across European Union member States, only a small part of the complexity of migrant integration phenomena can be captured through such data. Social security databases to assess labour market integration allow counting migrants only after they officially enter the systems. On the other hand, indicators to explain the different aspects of migrants’ living conditions and monitor integration policies implemented by countries cannot be captured through register data; large-scale surveys such as the European Union Labour Force Survey and the European Union Survey on Income and Living Conditions are the major data sources for these aims. However, migration and migrants have never been the centre of attention (with the exception of some occasional ad hoc modules) for cross-sectional/multinational surveys. These are designed to cover the general resident population in a given country, and although the migrants/non-nationals are incorporated in samples, the representation and coverage of those migrants have been questionable. Consequently, to improve understanding of migrant integration, it is necessary to go beyond traditional data sources, and novel approaches are required.

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Additional Info
Field Value
Creator Bircan, Tuba
Creator Salah, Albert Ali
Creator Sirbu, Alina
Group Migration Studies
Publisher International Organisation for Migration
SoBigData Node SoBigData EU
SoBigData Node SoBigData IT
Source Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners
Thematic Cluster Human Mobility Analytics [HMA]
system:type BookChapter
Management Info
Field Value
Author sirbu alina
Maintainer sirbu alina
Version 1
Last Updated 23 November 2024, 16:06 (CET)
Created 23 November 2024, 16:06 (CET)