We are expanding to a global DSSG network and will be running joint summer programs in Portugal, Charlotte (NC), and Chile in 2018-2019.  If you are interested in joining the network and funding opportunities, please contact our funding team.

Applications for fellows, mentors, and project partners for the 2018 programs (in Chicago, Charlotte, and Lisbon) are now open. Apply by January 31, 2018

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

Apply to be a fellow, mentor, or project manager
Submit a Project Proposal
Sign up for our Mailing List

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.


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Representativeness Analysis: How Our Data Reflects the Real Labor Market Dynamics

  For this month’s blog post, we are will talk about the representativeness of Data@Work Research Hub data. The Data@Work [...]

Aug 29,2017

Introducing the Training Provider Outcomes Toolkit

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Aug 3,2017

Introducing the Data@Work Research Hub and Funding Opportunity

  With the rapid growth and adoption of technologies like artificial intelligence having uncertain and disparate effects on labor markets, [...]

Jul 14,2017

Data-Driven Inspections for Safer Housing in San Jose, California

The Multiple Housing team in San Jose’s Code Enforcement Office is tasked with protecting the occupants of properties with three [...]

Jun 28,2017

Combining Data and Behavioral Science to Reduce Water Shut Offs

Behavioral science and psychology can help explain the underlying reasons for seemingly irrational behavior which cities aim to address, such [...]

Jun 21,2017

Introducing pgdedupe!

Combining datasets and performing large aggregate analyses are powerful new ways to improve service across large populations. Critically important in [...]

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