eMigrate: Aggregating Government Open Data for Enhanced Job Category Selection in Support of Immigration Applications

Jansen, Eva Hourihan; Jacobson, Jenna; Resch, Gabby

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https://hdl.handle.net/2142/73784 Copy

Description

Title

eMigrate: Aggregating Government Open Data for Enhanced Job Category Selection in Support of Immigration Applications

Author(s)

• Jansen, Eva Hourihan
• Jacobson, Jenna
• Resch, Gabby

Issue Date

2015-03-15

Abstract

With the growth of open data, much of the information required when applying to immigrate to Canada is available directly from government websites; however, an information problem persists, as making sense of the necessary information remains challenging. In this project, we describe a web-based application that supports potential immigrants to Canada by combining three sources of open data. eMigrate provides algorithmic transparency to the immigration process by automating the combination of policy and occupational choices in one system to aid potential immigrants in identifying the most appropriate and advantageous employment classification. In the case study, we specifically identify how eMigrate can provide social media professionals strategic information to strengthen their immigration application.

Publisher

iSchools

Series/Report Name or Number

iConference 2015 Proceedings

Type of Resource

text

Language

English

Permalink

http://hdl.handle.net/2142/73784

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Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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