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Forced Migration Research

From Theory to Practice in Promoting Migrant Well-Being: Proceedings of a Workshop

Forced Migration Research

Abstract

In 2018, the United Nations High Commissioner for Refugees estimated 70.8 million people could be considered forced migrants, which is nearly double their estimation just one decade ago. This includes internally displaced persons, refugees, asylum seekers, and stateless people. This drastic increase in forced migrants exacerbates the already urgent need for a systematic policy-related review of the available data and analyses on forced migration and refugee movements. To explore the causes and impacts of forced migration and population displacement, the National Academies convened a two-day workshop on May 21-22, 2019. The workshop discussed new approaches in social demographic theory, methodology, data collection and analysis, and practice as well as applications to the community of researchers and practitioners who are concerned with better understanding and assisting forced migrant populations. This workshop brought together stakeholders and experts in demography, public health, and policy analysis to review and address some of the domestic implications of international migration and refugee flows for the United States. This publication summarizes the presentations and discussions from the workshop.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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