2019 Applied Data Fellowship Application
Do you want to work at the intersection of data analysis and public policy in the US?

The IIC's Applied Data Fellowship is a unique opportunity to spend one year working to design and implement high impact programs with government and large non-profits in the United States. Specifically, Fellows will work to help translate data-driven insights into actionable policy recommendations, new programs, and operational changes for the partners they serve.

Fellows will be directly embedded into government and non-profit host institutions for one year. In addition to hands-on experience implementing data insights and working closely with senior-level stakeholders, Fellows will also receive managerial oversight from experienced development-sector consultants and technical support in the form of data analysis training and oversight. Fellows will also receive one-on-one career support through the year so as to help meet their post-fellowship career goals.

Exceptional candidates will have a good understanding of the policy domain, strong data analysis skills, and a deep desire to innovate and operationalize programs within the government and non-profit sectors to achieve impact.

Fellows will be provided with a living stipend of $40,000 for the year. Upon selection for the IIC's Applied Data Fellowship, there will be an IIC led matching process. The IIC allows partners to drive the final placement of Fellow(s) on their teams as it facilitates additional buy-in from their organization.

Applications will be considered on a rolling basis, and applicants are encouraged to apply early. OPT candidates and UChicago alumni are welcome to apply.

Please direct any questions to Kunal Pal (kpal@uchicago.edu).

Only UChicago graduates or current UChicago students willing to take a gap year are eligible for this program. Have you graduated from any program at the University of Chicago, are you scheduled to graduate from a University of Chicago program before August 2019, or will you be taking a gap year from a University of Chicago program? *
When is the earliest date you are available to start a full time fellowship? *
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Name *
Date of birth *
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Gender *
Are you eligible to work in the United States? If you have or are applying for a visa or OPT card, please share type of document and expected start and end date. *
Email address *
Phone number
Which of the following data analysis / statistical programs or programming languages are you familiar with? (*Basic familiarity - taken a class and Working Knowledge - has applied training to data analysis projects) *
No familiarity
Basic familiarity
Working knowledge
Strong knowledge
Excel
Advanced Excel
R
Stata
Python
SAS
SQL
Other data analysis / statistical programs or programming language familiarity not listed above
Please list the statistics / data analysis related courses that you have taken *
Please summarize the data analysis projects you have conducted in course work or in a professional setting
Please upload your resume *
Required
Optional: Please upload samples of data analysis completed for work or school. This can include class paper, white paper, report, website, or any other materials providing your best example of analyzing and translating insights from data sets.
Optional: Upload a cover letter
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