More and more people move across and within the borders of their country of birth — freely, in the search of better opportunities; sometimes forcibly to flee conflict, persecution or starvation; or more often due to a combination of factors. New data sources such as cell phone records and social media data, combined with traditional survey data and official statistics, can yield unique insights into the drivers and effects of population movements in both ‘sending’ and ‘host’ communities. Our goal is to contribute to more informed policy discussion and decisions on one of the most contentious issues of our time.
Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
January 2021Lee Fiorio, Emilio Zagheni, Guy Abel, Jonathan Hill, Gabriel Pestre, Emmanuel Letouzé, Jixuan Cai
Big Data for Good. Can Big Data Illustrate the Challenges Facing Syrian Refugees in Lebanon?
2020Andrés Lozano, Roaa Al Feel, Zinnya del Villar, Till Koebe, Ingmar Weber, Masoomali Fatehkia, Emmanuel Letouzé, Sara O ...
Big Data to Address Global Development Challenges – Paper Series
March 2019Bessie Schwarz, Beth Tellman, Jonathan Sullivan, Catherine Kuhn, Richa Mahtta, Bhartendu Pandey, Laura Hammett, Gabriel ...
Book “Guide to Mobile Data Analytics in Refugee Scenarios”
2019Albert Ali Salah, Alex "Sandy" Pentland, Bruno Lepri, Emmanuel Letouzé
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
July 2018Albert Ali Salah, Alex "Sandy" Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiao ...
Understanding Patterns of Human Mobility At Different Timescales
September 2017Leo Fiorio, Emilio Zagheni, Guy Abel Johnathan Hill, Gabriel Pestre, Emmanuel Letouzé, Jixuan Cai
Understanding the Relationship Between Short and Long Term Mobility
June 2017Sveta Milusheva, Elisabeth zu Erbach-Schoenberg, Linus Bengtsson, Erik Wetter, Andy Tatem
Big Data and Mobility: Migration and Transportation
In progressEmmanuel Letouzé
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.