Data Science for Migration and Mobility
Contents
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Introduction Introduction
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Mobile phone data: Call detail records Mobile phone data: Call detail records
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Application of mobile phone data for migration Application of mobile phone data for migration
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Refugees Refugees
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Climate-based migration Climate-based migration
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Labour migration Labour migration
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Other uses of mobile phone data Other uses of mobile phone data
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Mobile phone data for migration: Challenges and limitations Mobile phone data for migration: Challenges and limitations
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Technical challenges Technical challenges
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Geographic and temporal resolution Geographic and temporal resolution
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Representativeness of the data Representativeness of the data
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Data integration Data integration
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Timeliness of the data Timeliness of the data
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Ethical, regulatory, and financial challenges Ethical, regulatory, and financial challenges
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Ethical challenges Ethical challenges
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Privacy and regulatory challenges Privacy and regulatory challenges
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Difficulty of access and lack of financially sustainable models Difficulty of access and lack of financially sustainable models
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Conclusion Conclusion
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References References
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4 Leveraging Mobile Phone Data for Migration Flows
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Published:10 November 2022
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Abstract
Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is typically a time gap – up to a few years – between the data collection process and the computation and publication of relevant statistics. This gap is a significant drawback for the analysis of a phenomenon that is continuously and rapidly changing. Alternative data sources, such as surveys and field observations, also suffer from reliability, cost, and scale limitations. The ubiquity of mobile phones enables accurate and efficient collection of up-to-date data related to migration. Indeed, passively collected data by the mobile network infrastructure via aggregated, pseudonymised Call Detail Records (CDRs) is of great value to understand human migrations. Through the analysis of mobile phone data, we can shed light on the mobility patterns of migrants, detect spontaneous settlements and understand the daily habits, levels of integration, and human connections of such vulnerable social groups. This chapter discusses the importance of leveraging mobile phone data as an alternative data source to gather precious and previously unavailable insights on various aspects of migration. Also, we highlight pending challenges that would need to be addressed before we can effectively benefit from the availability of mobile phone data to help make better decisions that would ultimately improve millions of people’s lives.
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