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We are looking for funding to expand this program. If you are interested in funding opportunities, please contact our funding team.

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

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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 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 brought 42 aspiring data scientists from across the world to Chicago. They were 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 worked 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

Mar 10,2017

Connecting the Dots for Better Outcomes

  The most vulnerable individuals in society often struggle with long-lasting, multi-faceted challenges such as mental illness, substance abuse, chronic [...]

Feb 17,2017

Data Science for Social Good Fellowship Update

We wanted to share an update with you from the Data Science for Social Good Fellowship team. Based on the [...]

Jan 23,2017

Preventive Care for the City’s Circulatory System

Around the world, cities are showing signs of old age. For urban areas, one of the first signs of advancing [...]

Jan 12,2017

Police Project Update: Expanding and Implementing the Early Intervention System

In recent years, the issue of police violence and misconduct has repeatedly made headlines and inspired protests across the United [...]

Oct 27,2016

Scoping Data Science (for Social Good) Projects

Resources in this post:  Blank Project Scoping Worksheet and a filled out Project Scoping Worksheet . Over the past several years, the University [...]

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 [...]

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