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We’re running two DSSG programs in the UK in the summer of 2019. Apply for them by January 31, 2019
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We’re training data scientists to tackle problems that really matter.

Applications for the 2019 programs are now open. We’re running DSSG at Warwick-London (run by University of Warwick and Alan Turing Institute) and DSSG at Imperial College London.

Apply to be a fellow, mentor, or project manager

Deadline: Jan 31

Submit a Project Proposal

Deadline: Jan 31

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 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 2018 Summer Fellowship

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The 2018 program brought 24 aspiring data scientists from across the world to Chicago and 15 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 May 28th to August 17th, 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

Featured Projects

Team

The fellowship is led by Rayid Ghani from the Department of Computer Science & 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 Department of Computer Science 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
Joe Walsh
Joe Walsh
Data Scientist, Center for Data Science & Public Policy
Elena Eneva
Elena EnevaCo-Director of the Chicago Program
Rob Mitchum
Rob MitchumCommunications