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

UCL open environment Pub Date : 2021-10-27 eCollection Date: 2021-01-01 DOI:10.14324/111.444/ucloe.000027
Lydia H V Franklinos, Rebecca Parrish, Rachel Burns, Andrea Caflisch, Bishawjit Mallick, Taifur Rahman, Vasileios Routsis, Ana Sebastián López, Andrew J Tatem, Robert Trigwell
{"title":"Key opportunities and challenges for the use of big data in migration research and policy.","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","doi":"10.14324/111.444/ucloe.000027","DOIUrl":null,"url":null,"abstract":"<p><p>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>","PeriodicalId":75271,"journal":{"name":"UCL open environment","volume":"3 ","pages":"e027"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171412/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"UCL open environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14324/111.444/ucloe.000027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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, 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.

Abstract Image

Abstract Image

在移民研究和政策中使用大数据的主要机遇和挑战。
移民是 21 世纪的决定性问题之一。我们需要更好的数据,以更好地了解人口迁移的方式和原因,有针对性地采取干预措施,并支持循证移民政策。大数据被定义为来自不同来源的大型复杂数据,经常被提议作为帮助解决当前知识缺口的解决方案。作者参加了 2019 年 7 月在英国伦敦举行的研讨会,来自联合国(UN)、人道主义非政府组织(NGO)、政策和学术界的专家汇聚一堂,共同探讨如何将大数据用于移民研究和政策。我们确定了有关在移民研究和政策中应用大数据的六个关键领域:获取和利用数据;整合数据源和知识;了解移民的环境驱动因素;改善移民人口的医疗保健服务;围绕大数据使用的伦理和安全问题;以及解决政治叙事问题。我们主张需要认真考虑使用海量数据所面临的挑战,并加强跨学科合作,以推进海量数据在移民研究中的使用,同时保护弱势移民群体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
25 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信