Monitoring Global Migration

Monitoring Global Migration
Project ID: 2425Soc1005
Research Mentor: Prof. Guy Abel, Department of Sociology, The University of Hong Kong
Contact Person: Prof. Guy Abel, Department of Sociology, The University of Hong Kong

Data to monitor global migration is messy. Different international agencies collect and organise migration data over varying political geographies, time periods, definitions and disaggregations by demographic characteristics. In this project, we will harmonise past and current global migration data from a range of international agencies, including the United Nations and the World Bank. The database will allow us to explore differences in the migration data and the impact of how changing political geographies have directly impacted the level and trends of migration over time and provide migration scholars with a comprehensive data source for global migration.

Essential and Preferred Skills:

Essential:

  • Interest in migration
  • R statistical software, especially using the tidyverse packages to manipulate data.
  • Data analytical skills to visualise and understand migration data.

 

Desirable:

  • Experience using GitHub, developing R packages, using and creating APIs.
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