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We’re training data scientists to tackle problems that really matter.

 Applications for Summer 2016 are now closed. We will get back with decisions by March 15. 

Read the FAQs before Applying
Apply to be a Fellow

Deadline: Feb 1, 2016

Apply to be a Mentor

Deadline: Feb 1, 2016

Apply to be a Project Manager

Deadline: Feb 1, 2016

Apply to be a Project Partner

Deadline (extended): Feb 15, 2016

Join our mailing list to get updates and/or to attend our events.

In addition to the summer fellows, we’re also hiring as we build a year-round team to augment the summer fellowship.
Get in touch with us if you want to work with us as a Post-doc, Student, Data Scientist, or Project Partner outside the summer program.

The Eric & Wendy Schmidt Data Science for Social Good Fellowship is a University of Chicago summer program for aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more.

For three months in Chicago they learn, hone, and apply their data science, analytical, and coding skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia.

The 2015 Summer Fellowship

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The 2015 program brought 42 aspiring data scientists from across the world to Chicago. They were graduate and undergraduate students from quantitative and computational fields – from computer science and machine learning, to statistics, math, and physical sciences, to social sciences, public health and public policy.

From end of May to the end of August, they worked in small teams of 3-4 on data science projects in partnership with nonprofits and government agencies, to tackle high impact problems, analyzing different types of data, and learning from full-time experienced mentors.


Jan 5,2016

Announcing Diogenes: all the Machine Learning code you’ll never have to write

At the Center for Data Science and Public Policy, we work on problems across different policy areas and develop machine [...]

Dec 31,2015

The Greatest Technical Challenge of Our Day… Reading CSVs

Many data science projects follow the following workflow Define problem Get data Analyze the data (that may include building predictive [...]

Dec 10,2015

2016 Applications are now open!

We're excited and happy to start the application process for 2016. Applications are [...]

Nov 4,2015

What Makes a Good DSSG Project?

Apply to be a Project Partner for 2016 Data Science for Social Good is a summer program that requires [...]

Oct 27,2015

Reducing Adverse Police Interactions

Over the past year, the nation has faced a series of highly publicized adverse interactions between the police and the [...]

Oct 16,2015

EPA: Data-Driven Hazardous Waste Detection

What’s the problem? Hundreds of millions of tons of hazardous waste are generated every year. When this waste isn’t handled [...]

Read more of our blog posts…

Featured Projects


The fellowship is led by Rayid Ghani from the Computation Institute & Harris School of Public Policy at the University of Chicago, and Former Chief Data Scientist of the 2012 Obama campaign. It’s organized by an interdisciplinary team from the Center for Data Science and Public Policy, which is a University of Chicago initiative across the Computation Institute and the Harris School of Public Policy.

Rayid Ghani
Rayid GhaniDirector
Director, Center for Data Science & Public Policy
Computation Institute and Harris School Of Public Policy
Matt Gee
Matt GeeCo-Organizer
Research Fellow, Center for Data Science & Public Policy
Lauren Haynes
Lauren Haynes
Senior Project Manager, Center for Data Science & Public Policy
Rob Mitchum
Rob MitchumCommunications
Joe Walsh
Joe Walsh
Data Scientist, Center for Data Science & Public Policy