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Data Analytics without Borders: Multi-Layered Insights for Syrian Refugee Crisis
Date
2019-01-21
Author
Kılıç, Özgün Ozan
Işık, Oğuz
Günel Kılıç, Banu
Aydınoğlu, Arsev Umur
Sürer, Elif
Kalaycıoğlu, Sibel
Taşkaya Temizel, Tuğba
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This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, which is enriched with numerous local data sets. To achieve this, we made use of several techniques in addition to a novel methodology we developed for this particular domain. Our results showed that refugees are highly mobile as a survival strategy, a significant number of whom work as seasonal workers. Most prefer to live in relatively cheap neighborhoods, close to city transport links and fellow refugees. The ones living in low-status neighborhoods appear to be introvert, living in a closed neighborhood. However, the middle and upper class refugees appear to be the opposite. Fatih, İstanbul was found as an important hub for refugees. Finally, the officially registered refugee numbers do not reflect the real refugee population in Turkey. Due to their high mobility, refugees lag behind in keeping up-to-date information about their residential address, resulting in a significant discrepancy between the official numbers and the real numbers. We believe that policy makers can benefit from the proposed methods in this study to develop real-time solutions for the well-being of refugees.
Subject Keywords
Health
,
Education
,
Unemployment
,
Social Integration
,
Safety And Security
URI
https://d4r.turktelekom.com.tr/Content/Documents/d4r-proceedings.pdf
https://hdl.handle.net/11511/84822
Conference Name
Data for Refugees Challenge Workshop (21 Ocak 2019)
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Graduate School of Informatics, Conference / Seminar
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The use of big mobile data to gain multilayered insights for Syrian refugee crisis
Kılıç, Özgün Ozan; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Sürer, Elif; Kalaycıoğlu, Hediye Sibel; Taşkaya Temizel, Tuğba (Springer, 2019-09-01)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, enriched with numerous local data sets. To achieve this, we made use of several statistical and data mining techniques in addition to a novel methodology to find home and work-time anchors of mobile phone users we developed. Our results showed that refugees are highly mobile as a survival strategy—a significant number of whom work as seasonal workers. Most prefer to live in relativel...
The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis
Kılıç, Özgün Ozan; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Düzgün, Şebnem; Kalaycıoğlu, Sibel; Taşkaya Temizel, Tuğba (Springer, 2019-01-01)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, enriched with numerous local data sets. To achieve this, we made use of several statistical and data mining techniques in addition to a novel methodology to find home and work-time anchors of mobile phone users we developed. Our results showed that refugees are highly mobile as a survival strategy—a significant number of whom work as seasonal workers. Most prefer to live in relativel...
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Ö. O. Kılıç et al., “Data Analytics without Borders: Multi-Layered Insights for Syrian Refugee Crisis,” İstanbul, Türkiye, 2019, p. 19, Accessed: 00, 2021. [Online]. Available: https://d4r.turktelekom.com.tr/Content/Documents/d4r-proceedings.pdf.