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Data and research to inform global policy: the global compact for safe, orderly and regular migration
Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS). Malmö University, Malmö Institute for Studies of Migration, Diversity and Welfare (MIM). Colgate Univ, Hamilton, NY 13346 USA..
UN Dept Econ & Social Affairs, Populat Div, New York, NY USA..
2020 (English)In: Comparative Migration Studies, ISSN 2214-8590, E-ISSN 2214-594X, Vol. 8, no 1, article id 11Article in journal (Refereed) Published
Abstract [en]

In December 2018, the UN General Assembly formerly endorsed the Global Compact for Safe, Orderly and Regular Migration. Louise Arbour, Special Representative of the Secretary-General for International Migration, said, "the formal endorsement of the Compact represents a resounding commitment to an international migration framework based on fact, not myth, and to an understanding that national migration policies are best implemented through cooperation not in isolation." While there are formidable challenges to the implementation of the Compact, the mandates for the role of evidence in policy and program formulation have been expressed from stakeholders, Member States, civil society organizations, and migrants, throughout the preparatory processes. This paper seeks to share those voices vis a vis the call for research concerning data, research and analysis concerning international migrants and displaced persons, and will consider the implications for scientific initiatives for migration research and analysis and for global policy and goals concerning migration and sustainable development.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 8, no 1, article id 11
Keywords [en]
Global Compact on Safe, Orderly and Regular Migration, International Migration, Migration research, Migration Data, United Nations
National Category
Human Geography
Identifiers
URN: urn:nbn:se:mau:diva-48236DOI: 10.1186/s40878-019-0166-yISI: 000701903500001Scopus ID: 2-s2.0-85080970424OAI: oai:DiVA.org:mau-48236DiVA, id: diva2:1621259
Available from: 2021-12-17 Created: 2021-12-17 Last updated: 2024-02-05Bibliographically approved

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