We’re training data scientists to tackle problems that really matter!
We’re not running the Data Science for Social Good Summer Fellowship in Pittsburgh in 2024 and plan to run it again in 2025
You can still work with us as a project partner or apply for full-time positions including post-doc fellows, research scientists, and a software engineer for our year-round Data Science and Public Policy team at CMU across the Machine Learning Department and Heinz College of Public Policy.
Join our mailing list to get updates and to attend our events this summer.
The Data Science for Social Good Fellowship is a full-time summer program to train aspiring data scientists to work on machine learning, data science, and AI projects with social impact in a fair and equitable manner. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, criminal justice, sustainability, public safety, workforce development, human services, 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 full-time mentors coming from industry and academia.
The Summer Fellowship
The 2022 program brought 24 aspiring data scientists from across the world to Carnegie Mellon University. They are 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 until end of August, 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, transportation, criminal justice, environmental issues, city operations, and social services, learning from full-time experienced mentors and project managers.
News
DSSG 2022 Kicks off at Carnegie Mellon University
After a COVID break for a couple of years, the Data Science for Social Good Fellowship is back, in its [...]
COVID-19 Response Policies: Uses of Data and Implications for Equity
COVID-19 Response Policies: Uses of Data and Implications for Equity Carly Jones, Nick Chan, Tobi Jegede, Emily Reece, Kit [...]
Top 10 ways your Machine Learning models may have leakage
Top 10 ways your Machine Learning models may have leakage Rayid Ghani, Joe Walsh, Joan Wang If you've ever worked [...]
Data Science for Social Good Adds UK Locations, Opens 2019 Applications
Data Science for Social Good Adds UK Locations, Opens 2019 Applications Now seeking students, staff and project partners for program’s [...]
Improving Workplace Safety in Chile through Proactive Inspections
Improving Workplace Safety in Chile through Proactive InspectionsEvery year, thousands of Chileans are killed or injured in work-related accidents. This [...]
Improving Traffic Safety in Jakarta Through Video Analysis
João Caldeira, Alex Fout, Aniket Kesari, Raesetje Sefala UPDATE: We are pleased to announce that this project team won a [...]