The Applied Data Fellowship: A Launchpad for Data Careers in Public Service

In today’s world, data is transforming how governments, nonprofits, and research groups tackle major challenges. Fields like artificial intelligence, public policy, and operational improvement all rely on professionals who can understand and use data effectively. The Applied Data Fellowship (ADF), offered by the University of Chicago’s Harris School of Public Policy, provides a unique path for individuals looking to build careers at this intersection of data and social impact. This one-year, full-time program places talented graduate students and emerging professionals within mission-driven organizations, offering hands-on experience, mentorship, and training.

What is the Applied Data Fellowship?

The Applied Data Fellowship is a practical, year-long program designed to connect highly skilled individuals with organizations working on important societal issues. Unlike academic fellowships that focus mainly on research, ADF emphasizes putting data skills to work in real-world situations. Fellows become part of partner organizations, contributing to projects that involve data analysis, artificial intelligence, machine learning, public policy, and improving how