We're finalizing the application process and our funding for the 2016 program. Sign up for our mailing list to find out when applications will be open
The Eric & Wendy Schmidt Data Science for Social Good Fellowship is a University of Chicago summer program for 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, transportation, economic development, international development, and more.
For three months in Chicago they hone and apply their coding, analytics, and data science skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia.
The 2015 program brought 42 aspiring data scientists from across the world to Chicago. They were graduate and undergraduate students from quantitative and computational fields - from computer science and machine learning to statistics, math, and physical sciences, to social sciences, public health and public policy.
From end of May to the end of August, they worked in small teams of 3-4 on data science projects in partnership with nonprofits and government agencies. These project teams collaborated with our project partners to tackle high impact problems, analyzing different types of data, and learning from full-time mentors and project managers, who served as project leads and technical advisors.
Read our blog to follow the fellowship and learn about our 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.