The Role of Emerging Predictive IT Tools in Effective Migration Governance
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.17645/pag.v9i4.4436 |
Resumo: | Predicting mass migration is one of the main challenges for policymakers and NGOs working with migrants worldwide. Recently there has been a considerable increase in the use of computational techniques to predict migration flows, and advances have allowed for application of improved algorithms in the field. However, given the rapid pace of technological development facilitating these new predictive tools and methods for migration, it is important to address the extent to which such instruments and techniques engage with and impact migration governance. This study provides an in-depth examination of selected existing predictive tools in the migration field and their impact on the governance of migratory flows. It focuses on a comparative qualitative examination of these tools’ scope, as well as how these characteristics link to their respective underlying migration theory, research question, or objective. It overviews how several organisations have developed tools to predict short- or longer-term migration patterns, or to assess and estimate migration uncertainties. At the same time, it demonstrates how and why these instruments continue to face limitations that in turn affect migration management, especially as it relates to increasing EU institutional and stakeholder efforts to forecast or predict mixed migration. The main predictive migration tools in use today cover different scopes and uses, and as such are equally valid in shaping the requirements for a future, fully comprehensive predictive migration tool. This article provides clarity on the requirements and features for such a tool and draws conclusions as to the risks and opportunities any such tool could present for the future of EU migration governance. |
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The Role of Emerging Predictive IT Tools in Effective Migration GovernanceEuropean Union; forecasting; migration governance; predictive toolsPredicting mass migration is one of the main challenges for policymakers and NGOs working with migrants worldwide. Recently there has been a considerable increase in the use of computational techniques to predict migration flows, and advances have allowed for application of improved algorithms in the field. However, given the rapid pace of technological development facilitating these new predictive tools and methods for migration, it is important to address the extent to which such instruments and techniques engage with and impact migration governance. This study provides an in-depth examination of selected existing predictive tools in the migration field and their impact on the governance of migratory flows. It focuses on a comparative qualitative examination of these tools’ scope, as well as how these characteristics link to their respective underlying migration theory, research question, or objective. It overviews how several organisations have developed tools to predict short- or longer-term migration patterns, or to assess and estimate migration uncertainties. At the same time, it demonstrates how and why these instruments continue to face limitations that in turn affect migration management, especially as it relates to increasing EU institutional and stakeholder efforts to forecast or predict mixed migration. The main predictive migration tools in use today cover different scopes and uses, and as such are equally valid in shaping the requirements for a future, fully comprehensive predictive migration tool. This article provides clarity on the requirements and features for such a tool and draws conclusions as to the risks and opportunities any such tool could present for the future of EU migration governance.Cogitatio2021-10-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/pag.v9i4.4436oai:ojs.cogitatiopress.com:article/4436Politics and Governance; Vol 9, No 4 (2021): Migration and Refugee Flows: New Insights; 133-1452183-2463reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.cogitatiopress.com/politicsandgovernance/article/view/4436https://doi.org/10.17645/pag.v9i4.4436https://www.cogitatiopress.com/politicsandgovernance/article/view/4436/4436Copyright (c) 2021 Cristina Blasi Casagran, Colleen Boland, Elena Sánchez Montijano, Eva Vilà Sanchezhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBlasi Casagran, CristinaBoland, ColleenSánchez-Montijano, ElenaVilà Sanchez, Eva2022-12-22T15:16:47Zoai:ojs.cogitatiopress.com:article/4436Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:22:29.254296Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
title |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
spellingShingle |
The Role of Emerging Predictive IT Tools in Effective Migration Governance Blasi Casagran, Cristina European Union; forecasting; migration governance; predictive tools |
title_short |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
title_full |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
title_fullStr |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
title_full_unstemmed |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
title_sort |
The Role of Emerging Predictive IT Tools in Effective Migration Governance |
author |
Blasi Casagran, Cristina |
author_facet |
Blasi Casagran, Cristina Boland, Colleen Sánchez-Montijano, Elena Vilà Sanchez, Eva |
author_role |
author |
author2 |
Boland, Colleen Sánchez-Montijano, Elena Vilà Sanchez, Eva |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Blasi Casagran, Cristina Boland, Colleen Sánchez-Montijano, Elena Vilà Sanchez, Eva |
dc.subject.por.fl_str_mv |
European Union; forecasting; migration governance; predictive tools |
topic |
European Union; forecasting; migration governance; predictive tools |
description |
Predicting mass migration is one of the main challenges for policymakers and NGOs working with migrants worldwide. Recently there has been a considerable increase in the use of computational techniques to predict migration flows, and advances have allowed for application of improved algorithms in the field. However, given the rapid pace of technological development facilitating these new predictive tools and methods for migration, it is important to address the extent to which such instruments and techniques engage with and impact migration governance. This study provides an in-depth examination of selected existing predictive tools in the migration field and their impact on the governance of migratory flows. It focuses on a comparative qualitative examination of these tools’ scope, as well as how these characteristics link to their respective underlying migration theory, research question, or objective. It overviews how several organisations have developed tools to predict short- or longer-term migration patterns, or to assess and estimate migration uncertainties. At the same time, it demonstrates how and why these instruments continue to face limitations that in turn affect migration management, especially as it relates to increasing EU institutional and stakeholder efforts to forecast or predict mixed migration. The main predictive migration tools in use today cover different scopes and uses, and as such are equally valid in shaping the requirements for a future, fully comprehensive predictive migration tool. This article provides clarity on the requirements and features for such a tool and draws conclusions as to the risks and opportunities any such tool could present for the future of EU migration governance. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.17645/pag.v9i4.4436 oai:ojs.cogitatiopress.com:article/4436 |
url |
https://doi.org/10.17645/pag.v9i4.4436 |
identifier_str_mv |
oai:ojs.cogitatiopress.com:article/4436 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.cogitatiopress.com/politicsandgovernance/article/view/4436 https://doi.org/10.17645/pag.v9i4.4436 https://www.cogitatiopress.com/politicsandgovernance/article/view/4436/4436 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Cogitatio |
publisher.none.fl_str_mv |
Cogitatio |
dc.source.none.fl_str_mv |
Politics and Governance; Vol 9, No 4 (2021): Migration and Refugee Flows: New Insights; 133-145 2183-2463 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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