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Summer Institute in Migration Methods

Posted: 12/19/2017 (Conference)

This summer institute will provide 8 days of training in the use and analysis of migration data at Berkeley from June 17 until June 28, 2018. It targets early career scholars (graduate students, post-docs and untenured junior faculty five years from PhD). Read more about the eligibility and the application process here.

The inaugural institute will focus on three topics:

  • Collecting, imputing and analyzing data related to legal status
  • Best practices and new methods for surveying immigrant and mobile populations
  • The use of new data sources (e.g., web scraping, social media data) in migration studies.

The institute will draw on local and national experts to train attendees and provide on-site mentorship. Most participant costs during the workshop, including housing and most meals, will be covered, and a capped travel stipend (covering most of anticipated travel costs) will also be provided.

This Summer Institute is being supported by award #78-18-01 from the Russell Sage Foundation and the Carnegie Corporation of New York.


Participation is restricted to:

  • Individuals doing empirical research about migration in academia, government and the non-profit sector
  • Academic participants should be Ph.D. students, postdoctoral researchers, and untenured faculty within 5 years of the Ph.D.

All participants are required to fully attend and participate in all sessions of the Summer Institute. No more than thirty applicants will be invited to participate.


Eligible candidates can apply online before the application deadline 23 February 2018.

Applicants are asked to submit:

  • An abstract (max. 100 words) of one of your research projects which is most relevant to the aims of this summer institute
  • A motivation letter explaining how you will benefit from the summer institute (2 pages max.)
  • A 3-5 page resume
  • Grade transcripts (unofficial student copies okay)
  • A writing sample of about 25 pages

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Deadline: 02/23/2018

Location: UC Berkeley