Franklinos Lydia H V, Parrish Rebecca, Burns Rachel, Caflisch Andrea, Mallick Bishawjit, Rahman Taifur, Routsis Vasileios, López Ana Sebastián, Tatem Andrew J, Trigwell Robert
Institute for Global Health, University College London, London, UK.
Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK.
UCL Open Environ. 2021 Oct 27;3:e027. doi: 10.14324/111.444/ucloe.000027. eCollection 2021.
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.
移民是21世纪的决定性问题之一。需要更好的数据来增进对人们如何以及为何迁移的理解,确定干预目标并支持基于证据的移民政策。大数据被定义为来自不同来源的大量复杂数据,人们经常提出将其作为一种解决方案,以帮助填补当前的知识空白。作者参加了2019年7月在英国伦敦举行的一次研讨会,该研讨会汇聚了来自联合国(UN)、人道主义非政府组织(NGO)、政策制定者和学术界的专家,以更好地理解如何将大数据用于移民研究和政策制定。我们确定了大数据在移民研究和政策应用方面的六个关键领域:获取和利用数据;整合数据源和知识;理解移民的环境驱动因素;改善移民群体的医疗保健服务;围绕大数据使用的伦理和安全问题;以及应对政治叙事。我们主张需要认真考虑使用大数据所面临的挑战,以及加强跨学科合作,以推动大数据在移民研究中的应用,同时保护弱势移民群体。