Data Science for Social Good Fellowship at Carnegie Mellon University

Description:

• The Data Science for Social Good (DSSG) Fellowship is a full-time summer program aimed at training aspiring data scientists to work on machine learning, data science, and AI projects with social impact.
• Fellows collaborate closely with governments and nonprofits to address real-world problems in various domains such as education, health, criminal justice, sustainability, public safety, and more.
• The program spans over three months, during which fellows learn, refine, and apply their data science, analytical, and coding skills in a fast-paced environment.

Program Details:

• Host Institution: Carnegie Mellon University
• Duration: 12 weeks
• Number of Fellows: 24
• Number of Projects: 6

Eligibility:

• Open to current or recent graduate and undergraduate students from quantitative and computational fields, including computer science, machine learning, statistics, mathematics, physical sciences, engineering, social sciences, public health, and public policy.

Responsibilities and Activities:

• Fellows work in teams of 3-4 on data science projects in collaboration with nonprofits and government agencies.
• Projects cover a wide range of data-intensive, high-impact issues such as education, public health, public safety, transportation, criminal justice, environmental concerns, city operations, and social services.
• Fellows receive guidance and mentorship from experienced professionals in the field.

Application Process:

• The Data Science for Social Good Fellowship at Carnegie Mellon University is not running in Pittsburgh in 2024 but is planned to resume in 2025.
• However, interested individuals can apply for full-time positions including post-doc fellows, research scientists, and software engineers for the year-round Data Science and Public Policy team at CMU.
• Opportunities for involvement as a Data Science Mentor, Project Manager, or Project Partner are also available.