Files in this item



application/pdf505_ready.pdf (110kB)
(no description provided)PDF


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
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.
Issue Date:2015-03-15
Series/Report:iConference 2015 Proceedings
Genre:Conference Paper / Presentation
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24

This item appears in the following Collection(s)

Item Statistics