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Visual Analytics for Global Migration Policy Discovery and NGO Collaboration

Published: 16 June 2020 Publication History
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  • Abstract

    Migrations and refugees are a global phenomenon. People migrate from their country or region for many reasons, including to seek out economic opportunities, or to escape from atrocities or disasters. These migrants and refugees face various challenges at the destination countries due to language barriers, cultural differences, and social acceptance. The NGO Committee on Migration (CoM) has been established to form a coalition of organizations worldwide that advocate, educate, and collaborate to encourage the promotion and protection of migrants and their human rights, in accordance with the United Nations Charter. The NGOs operate in different parts of the world, and the information on their migrant trends and support activities are to be shared for better coordination and collaborative governance or for identifying high priority policy issues. This paper presents the visual analytics approach to support the NGOs around the globe to better understand and govern the NGO activities and migration trends, and to monitor international migration policy issues.

    References

    [1]
    [n.d.]. NGO Committee of Migration. Retrieved April 1, 2019 from https://ngo-migration.org/about/
    [2]
    [n.d.]. Subcommittee of Xenophobia and Social Inclusion. Retrieved April 1, 2019 from https://ngo-migration.org/task-force/campaign-against-xenophobia-and-for-social-integration/
    [3]
    UN General Assembly. 2016. New York Declaration for Refugees and Migrants, Resolution. Retrieved Jan 8, 2020 from https://www.un.org/en/development/desa/population/migration/generalassembly/docs/globalcompact/A_RES_71_1.pdf
    [4]
    & Gotz D. Caban, J. J.2015. Visual analytics in healthcare–opportunities and research challenges. Journal of the American Medical Informatics Association 22, 2(2015), 260–262. https://doi.org/10.1093/jamia/ocv006
    [5]
    UN DESA Population Division. 2019. International migrant stock 2019. Retrieved Jan 19, 2020 from https://www.un.org/en/development/desa/population/migration/data/estimates2/estimates19.asp
    [6]
    Global Compact for Migration. 2018. Global Compact for Safe, Orderly and Regular Migration - Intergovernmentally Negotiated And Agreed Outcome.
    [7]
    Rutgers I-DSLA. 2019. Prototype System on Visual Analytics for Migration Policy Discovery and Governance. Retrieved Jan 8, 2020 from http://cimicapp.rutgers.edu/UN/
    [8]
    Horsburgh J. S. Jackson-Smith D. Ramírez M. Flint C. G. & Caraballo J. Jones, A. S.2016. A web-based, interactive visualization tool for social environmental survey data. Environmental modelling & software 84 (2016), 412–426.
    [9]
    & Hauser H. Kehrer, J.2012. Visualization and visual analysis of multifaceted scientific data: A survey. IEEE transactions on visualization and computer graphics 19, 3(2012), 495–533.
    [10]
    Evert A. Lindquist. 2018. Visualization Practice and Government: Strategic Investments for More Democratic Governance. Springer International Publishing, Cham, 225–246.
    [11]
    UN Department of Economic and Population Division Social Affairs. 2017. International Migration Policies: Data Booklet (ST/ESA/ SER.A/395). Retrieved Dec 23, 2019 from https://www.un.org/en/development/desa/population/publications/pdf/policy/international_migration_policies_data_booklet.pdf
    [12]
    UN Department of Economic and Population Division Social Affairs. 2019. News Sep 17. Retrieved Jan 19, 2020 from https://www.un.org/development/desa/en/news/population/international-migrant-stock-2019.html
    [13]
    NGO Committee on Migration. 2016. A Glance at Global Compact for Migration. Retrieved Feb 8, 2020 from https://unanima-international.org/wp-content/uploads/2019/12/GCM_at_a_glance_FINAL.pdf
    [14]
    NGO Committee on Migration. 2017. Survey on Migrant and Refugee Victims of Xenophobia and Intolerance. Retrieved Jan 8, 2020 from https://docs.google.com/forms/d/e/1FAIpQLSdkLxTqCxJRb1BizrDRtuyNjKAoe8l_d7rC7_usx5CN8NIVvw/viewform
    [15]
    Edward Tufte. 1997. Visual explanations: Images and Quantities, Evidence and Narrative Visual Explanations. (1997).
    [16]
    UN. [n.d.]. Sustainable Development Goals. Retrieved Jan 18, 2020 from https://www.un.org/sustainabledevelopment/inequality/
    [17]
    B. Williamson. 2016. Digital education governance: data visualization, predictive analytics, and ‘real-time’policy instruments. Journal of Education Policy 31, 2 (2016), 123–141.
    [18]
    & Chen H. Xu, J.2005. Criminal network analysis and visualization.Commun. ACM 48, 6 (Jan. 2005), 100–107.
    [19]
    Moutasem Zakkar and Kamran Sedig. 2017. Interactive visualization of public health indicators to support policymaking: An exploratory study. Online journal of public health informatics 9, 2 (2017).

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    cover image ACM Other conferences
    dg.o '20: Proceedings of the 21st Annual International Conference on Digital Government Research
    June 2020
    389 pages
    ISBN:9781450387910
    DOI:10.1145/3396956
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

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    Published: 16 June 2020

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    Author Tags

    1. NGO
    2. data analytics
    3. global migration
    4. interactive visual analytics
    5. policy analytics

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