Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data

Jan 14 2021

Georeferenced digital trace data offer unprecedented flexibility in migration estimation. Because of their high temporal granularity, many migration estimates can be generated from the same data set by changing the definition parameters. Yet despite the growing application of digital trace data to migration research, strategies for taking advantage of their temporal granularity remain largely underdeveloped. In this paper, we provide … Read More

Big Data for Good. Can Big Data Illustrate the Challenges Facing Syrian Refugees in Lebanon?

Dec 01 2020

Timely evidence for policymaking has been a consistent objective for UN organizations and member states. The classical data sources needed for official statistics have been expensive, time consuming, leading to delayed outcomes, and in certain cases impossible to access (e.g. images, videos). Today’s connected world offers alternatives and supplementary non-traditional data sources enabled by Information and Communication Technology (Geographic Information … Read More

Book “Guide to Mobile Data Analytics in Refugee Scenarios”

Sep 16 2020

This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and … Read More

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

Sep 16 2020

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 … Read More

Understanding the Relationship Between Short and Long Term Mobility

Sep 16 2020

Populations are highly mobile, both in terms of long term movements of individuals relocating their place of residence as well as shorter term mobility such as commuting, seasonal travel and recreational trips. Working with call detail record data from Namibia and Senegal, we study population migration and its link to short term movement. We compare the short term mobility estimates extracted … Read More

Big Data and Mobility: Migration and Transportation

Oct 22 2020

This paper (in progress) discusses the linkages between Big Data and mobility—specifically migration and transportation. Its main objective is to give its readers—World Bank staff, policymakers, researchers, development project managers and other professionals—an overview of the main features and parameters of this nexus, as well as provide examples and discuss key considerations—technical, ethical, institutional, etc.—for developing projects, programs and other … Read More