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

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We’re 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, 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 are 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 are working 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.


Featured Projects


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
Rob Mitchum
Rob MitchumCommunications