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

Our inaugural Data Science for Social Good conference is taking place August 24-25 in Chicago. Sign up to attend 

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

Aug 18,2016

The Real World: DSSG

This is the true story of 42 strangers picked to live in a dorm, work together, and have their lives [...]

Aug 10,2016

Sanergy: Smart scheduling to improve toilet collections in Kenya

Every year, some 1 million people die because they do not have access to hygienic sanitation. Among other problems, poor [...]

Aug 5,2016

MVESC: Finding the Missing Students Who Don’t Graduate On Time

Over 1.2 million or 7.1% high school students drop out every year. Dropping out of high school is costly for [...]

Aug 3,2016

CMPD: Behind the Headlines, Beneath the Data

It's usual for those of us here at Data Science for Social Good to want to see our projects thrown [...]

Jul 19,2016

Tulsa Public Schools: Preparing Kids for the Third Grade Turning Point

Third grade is a turning point in learning, where students transition from learning to read to reading to learn. Thus, [...]

Jul 12,2016

2016 Police Projects: Back to the Whiteboards

A crucial but often overlooked consideration when working with data is: what is the best way to organise it? The [...]

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