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Human migration: the big data perspective

How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through ananalysis of various phases of migration, comparing traditional and novel data sources and models at each phase.We concentrateon three phases of migration, at each phase describing the state of the art and recent developments and ideas. The first phaseincludes the journey, and we study migration flows and stocks, providing examples where big data can have an impact. Thesecond phase discusses the stay, i.e. migrant integration in the destination country. We explore various data sets and modelsthat can be used to quantify and understand migrant integration, with the final aim of providing the basis for the constructionof a novel multi-level integration index. The last phase is related to the effects of migration on the source countries and thereturn of migrants.


International Journal of Data Science and Analytics, 2020

Autori IIT:

Tipo: Contributo in rivista non ISI
Area di disciplina: Computer Science & Engineering

File: Human migration the big data perspective.pdf

Attività: Social Networking