A data-driven computational model on the effects of immigration policies

Miranda Simon; Cassilde Schwartz; David Hudson; Shane D. Johnson

doi:10.1073/pnas.1800373115

A data-driven computational model on the effects of immigration policies

Miranda Simon
, Cassilde Schwartz
, David Hudson
, Shane D. Johnson

Department of Politics, International Relations and Philosophy

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	E7914-E7923
Number of pages	10
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	115
Issue number	34
Early online date	6 Aug 2018
DOIs	https://doi.org/10.1073/pnas.1800373115
Publication status	Published - 21 Aug 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

Keywords

Computational modeling
Immigration policy
Migration
Unauthorized migration

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10.1073/pnas.1800373115

Accepted ManuscriptAccepted author manuscript, 548 KB

Cite this

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title = "A data-driven computational model on the effects of immigration policies",

keywords = "Computational modeling, Immigration policy, Migration, Unauthorized migration",

author = "Miranda Simon and Cassilde Schwartz and David Hudson and Johnson, \{Shane D.\}",

year = "2018",

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language = "English",

volume = "115",

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journal = "Proceedings of the National Academy of Sciences of the United States of America",

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TY - JOUR

T1 - A data-driven computational model on the effects of immigration policies

AU - Simon, Miranda

AU - Schwartz, Cassilde

AU - Hudson, David

AU - Johnson, Shane D.

PY - 2018/8/21

Y1 - 2018/8/21

KW - Computational modeling

KW - Immigration policy

KW - Migration

KW - Unauthorized migration

UR - https://www.scopus.com/pages/publications/85051790038

U2 - 10.1073/pnas.1800373115

DO - 10.1073/pnas.1800373115

M3 - Article

AN - SCOPUS:85051790038

SN - 0027-8424

VL - 115

SP - E7914-E7923

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 34

ER -

A data-driven computational model on the effects of immigration policies

UN SDGs

Keywords

Access to Document

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Cite this