Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouze,, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Ozge Dagdelen

TL;DR
The D4R Challenge provides a comprehensive anonymized mobile data set to facilitate research on Syrian refugees in Turkey, aiming to address urgent social issues through data-driven insights.
Contribution
This paper introduces a large-scale, anonymized mobile dataset capturing refugee mobility patterns, enabling new research on refugee integration and well-being.
Findings
Data covers one year of mobility patterns
Includes anonymized call and SMS records of one million users
Supports research on health, education, and safety issues
Abstract
The Data for Refugees (D4R) Challenge is a non-profit challenge initiated to improve the conditions of the Syrian refugees in Turkey by providing a special database to scientific community for enabling research on urgent problems concerning refugees, including health, education, unemployment, safety, and social integration. The collected database is based on anonymised mobile Call Detail Record (CDR) of phone calls and SMS messages from one million Turk Telekom customers. It indicates broad activity and mobility patterns of refugees and citizens in Turkey for one year. The data collection period is from 1 January 2017 to 31 December 2017. The project is initiated by Turk Telekom, in partnership with the Turkish Academic and Research Council (TUBITAK) and Bogazici University, and in collaboration with several academic and non-governmental organizations, including UNHCR Turkey, UNICEF,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies
