Data Science for Social Good Fellowship

The Data Science for Social Good Fellowship is a full-time summer program that trains aspiring data scientists to work on machine learning, data science, and AI projects with social impact. Fellows work closely with governments and nonprofits on real-world problems across sectors such as education, health, criminal justice, sustainability, and transportation. For three months they apply analytical and coding skills, collaborate in teams, and learn from full-time mentors from industry and academia. The 2026 edition is running at Johns Hopkins University in Baltimore.

Three months of training and hands-on project experience, mentorship from full-time industry and academic mentors, teamwork on real-world data science projects with nonprofit and government partners.

Current (or recent) graduate and undergraduate students from quantitative and computational fields, including computer science, machine learning, statistics, math, physical sciences, engineering, social sciences, public health and public policy.

Apply via the online application form linked on the program website.