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

Applications are now closed for our summer 2018 program.

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

Apply to be a fellow, mentor, or project manager

Deadline: Jan 31

Submit a Project Proposal

Deadline: Extended to Feb 15

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

0 Fellows
0 Projects
0 Weeks

The 2017 program brought 15 aspiring data scientists from across the world to Lisbon. 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 June 1st to August 25th, 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. Learn more at the DSSG Europe page!


Feb 8,2018

Tech Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

  This is the second in our three-part series “Lessons Learned Deploying Early Intervention Systems.” The first part (you can [...]

Jan 26,2018

Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

From the company’s creation, Netflix has relied on the scalability and accuracy of machine learning to deliver content and turn [...]

Oct 6,2017

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

  Trying to find a good job training program can be daunting. How do you know if the skills they [...]

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 [...]

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