Abstract
This chapter provides insights on how mobile phone data, more specifically Call Detail Records (CDR), can be used to perform mobility and migration analyses. It is written from the perspective of migration and mobility researchers, and thus should give an accessible exposition of the data science aspects. We start with a very brief introduction to the background of mobility analyses from CDR, and then, using a concrete example (Syrian refugees in Turkey), we provide basic steps and some key challenges that need to be considered when analysing and dealing with such data. As the ethical aspects of this topic are highly relevant, we provide a reflection of the ethics of this concrete case example as well.
| Original language | English |
|---|---|
| Title of host publication | Data Science for Migration and Mobility |
| Editors | Albert Ali Salah, Emre Eren Korkmaz, Tuba Bircan |
| Place of Publication | Oxford |
| Publisher | Oxford University Press |
| Chapter | 5 |
| Pages | 99-120 |
| ISBN (Print) | 9780197267103 |
| Publication status | Published - 10 Nov 2022 |
Publication series
| Series | Proceedings of the British Academy |
|---|---|
| Volume | 251 |
| ISSN | 0068-1202 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Austrian Fields of Science 2012
- 504021 Migration research
- 102035 Data science
- 507001 Applied geography
Keywords
- mobile CDR
- mobile phone data
- mobility
- migration
- refugees
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