Key opportunities and challenges for the use of big data in migration research and policy

<p class="first" id="d209352e252">Migration is one of the defining issues of the 21st century. Better data is required to improve understanding about how and why people are moving, target interventions and support evidence-based migration policy. Big...

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Bibliographic Details
Main Authors: Lydia H. V. Franklinos, Rebecca Parrish, Rachel Burns, Andrea Caflisch, Bishawjit Mallick, Taifur Rahman, Vasileios Routsis, Ana Sebastián López, Andrew J. Tatem, Robert Trigwell
Format: Article
Language:English
Published: UCL Press 2021-09-01
Series:UCL Open Environment
Online Access:https://ucl.scienceopen.com/hosted-document?doi=10.14324/111.444/ucloe.000027
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Summary:<p class="first" id="d209352e252">Migration is one of the defining issues of the 21st century. Better data is required to improve understanding about how and why people are moving, target interventions and support evidence-based migration policy. Big data, defined as large, complex data from diverse sources, is regularly proposed as a solution to help address current gaps in knowledge. The authors participated in a workshop held in London, UK, in July 2019, that brought together experts from the United Nations (UN), humanitarian non-governmental organisations (NGOs), policy and academia to develop a better understanding of how big data could be used for migration research and policy. We identified six key areas regarding the application of big data in migration research and policy: accessing and utilising data; integrating data sources and knowledge; understanding environmental drivers of migration; improving healthcare access for migrant populations; ethical and security concerns around the use of big data; and addressing political narratives. We advocate the need for careful consideration of the challenges faced by the use of big data, as well as increased cross-disciplinary collaborations to advance the use of big data in migration research whilst safeguarding vulnerable migrant communities. </p>
ISSN:2632-0886