Opportunity Title : University of Chicago Harris Applied Data Fellowship 2026 (With up to $47,000 in Stipend)

Opportunity Type Fellowship
Courses Not Specified
Awarding Country United States
Eligible Locations Not Specified
Published Date 26 Jun, 2026
Opportunity Deadline Not Specified
Opportunity Benefits

The University of Chicago Harris Applied Data Fellowship provides a stipend and helps with logistics. You will get $47,000 for the year and up to $5,000 for health insurance. If you live in a city that's more expensive than Chicago, you will get more money. When you are selected for Fellowship, there will be a process to match you with a partner organization. This way the organization you work with will be invested in your work with the University of Chicago Harris Applied Data Fellowship.

Application Process

You can click on the link to apply 

Application Link Not Specified
Opportunity Description

The University of Chicago Harris Applied Data Fellowship is a chance to work with government, nonprofits and social enterprises in the United States for one year.  You will help these organizations use data to make decisions and create new programs. The University of Chicago Harris Applied Data Fellowship will give you the opportunity to work on different projects and make a real difference

Summary:

Deadline: Ongoing

Category: Fellowship

Oppotunity Locations: United States

Opportunity Requirement

They need exceptional candidates who has a good understanding of public policy, strong data analysis skills, project management, and a deep desire to innovate and operationalize programs within the government, non-profit and social enterprise sectors to achieve impact. They recruit a range of different skills - both technical and non-technical - for their program, so they encourage applicants from a wide variety of academic and professional backgrounds to apply.

 Typical project types are:

 1) Policy, advocacy, and project management 

2) Data analysis and visualizations 

 3) Data engineering and more complex data science work.

FAQs About Fellowship

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