Migration and Displacement

According to the International Organization for Migration (IOM), “in 2015, the number of international migrants worldwide – people residing in a country other than their country of birth – was the highest ever recorded”. Implications of migration are manifold and can be heavily politicized. New types of data, such as Call Detail Records (CDRs), have enabled researchers to gain new insights into human mobility and provided officials with tools to create evidence-based policy about this worldwide and complex phenomenon.


“Understanding Patterns of Human Mobility At Different Timescales”

Fiorio, L., Zagheni, E., Abel, G., Hill, J., Pestre, G., Letouzé, E. and Cai, J., 2017.

“Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey”

Salah, A.A., Pentland, A., Lepri, B., Letouzé, E., Vinck, P., de Montjoye, Y.A., Dong, X. and Dağdelen, Ö., 2018.
To be published by Springer.

“Understanding the Relationship between Short-Term Mobility, Migration Streams, and Social Networks”

Sveta Milusheva, Elisabeth zu Erbach-Schoenberg, Linus Bengtsson, Erik Wetter, and Andy Tatem

Open Learning Hub:
Big Data for Migration Module

Learn more about the application of Big Data to study and understand Migration on our Open Learning Hub. The module is based on the paper “Inferring International and Internal Migration Patterns from Twitter Data” by Emilio Zagheni, Venkata Rama Kiran Garimella, Ingmar Weber, and Bogdan State. 


Data 4 Refugees Turkey:

Big Data Challenge, co-organized by Türk Telekom, Bogazici University and Tübitak; in collaboration with Fondazione Bruno Kessler, MIT Media Lab, Data-Pop Alliance, UNHCR, IOM and UNICEF.

© Julie Ricard