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

DSSG 2016 is now underway! Meet the 2016 summer fellows. Learn more about our current projects!

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

In addition to the summer fellows, we also hire for our year-round team at the University of Chicago.
Get in touch with us if you want to work with us as a Post-doc, Research Assistant, 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 to train 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 2016 Summer Fellowship

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The 2016 program has brought 42 aspiring data scientists from across the world to Chicago. They are current (or recent) graduate and undergraduate students from quantitative and computational fields – from computer science and machine learning, to statistics, math, physical sciences and engineering, to social sciences, public health and public policy.

From May 30th to August 25, they will work in teams of 3-4 on data science projects in partnership with nonprofits and government agencies, to tackle data-intensive high impact problems in education, public health, public safety, criminal justice, environmental issues, city operations, and social services, learning from full-time experienced mentors and project managers.

News

Jun 7,2016

DSSG 2016 Week One: Convergence and Priorities

Data Science for Social Good is now four years old. If we were a toddler, we’d be learning our alphabet [...]

Apr 28,2016

Introducing the Data Maturity Framework

In our four years of running the Data Science for Social Good Fellowship and the Center for Data Science and [...]

Apr 27,2016

You say you want Transparency and Interpretability?

We keep hearing and saying that in order to implement and correctly use machine learning and predictive models , they [...]

Feb 22,2016

Data Science For Social Good 2016 Applicants

Fellow applications for the 2016 Summer Fellowship are all in and we have been busy reviewing the 900 we received! As we [...]

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 [...]

Read more of our blog posts…

Featured Projects

Team

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