Franklinos, Lydia;
Parrish, Rebecca;
Burns, Rachel;
Caflisch, Andrea;
Mallick, Bishawjit;
Rahman, Taifur;
Routsis, Vasileios;
... Trigwell, Robert; + view all
(2021)
Key opportunities and challenges for the use of big data in migration research and policy.
UCL Open: Environment
, 3
, Article 6. 10.14324/111.444/ucloe.000027.
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Abstract
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, has been 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 UN, humanitarian 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; and addressing political narratives. We advocate the need for increased cross-disciplinary collaborations to advance the use of big data in migration research whilst safeguarding vulnerable migrant communities.
| Type: | Article |
|---|---|
| Title: | Key opportunities and challenges for the use of big data in migration research and policy |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.14324/111.444/ucloe.000027 |
| Publisher version: | https://dx.doi.org/10.14324/111.444/ucloe.000027 |
| Language: | English |
| Additional information: | ©2021 The Authors. Creative Commons Attribution Licence (CC BY) 4.0 International licence https://creativecommons.org/licenses/by/4.0/ Open access This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | big data, migration, cross-disciplinary research, policy, humanitarian, environment, displacement, climate change, health, data security |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies UCL > Provost and Vice Provost Offices > UCL SLASH |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10144934 |
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