Leaders in Data and AI
At 𝔻Sci we:
- Ask the right questions
- Think ethically
- Create and deploy technologies critically
- Communicate with impact
Whatever the specialty.
We focus on developing future leaders who can apply these skills across diverse fields. We call these Decision Leaders. Learn more about our Mission.
Announcements
Elevate your experience with the Master of Data Science
Join Professor Craig Hadley on December 4 from 4–5 PM in PAIS 230 to learn how the 𝔻ataSci MS program can sharpen your analytical skills, expand your career options, and give you a true Emory Advantage.
Register for the in-person Info Session with Professor Craig Hadley and receive a $75 application fee waiver.
Fall Research Showcase 
On Friday, December 5th, The 𝔻epartment of 𝔻ata & 𝔻ecision Sciences invites the entire Emory community to explore new ideas and engage with like minds at our Fall Research Showcase.
- Engage with Peer Research at the Student Poster Sessions
- Network with your Professors at the Faculty Research Fair
- Listen and Learn from CPD’s “Internship Insights” Workshop
Latest News

New Publication by Dr. Hun Chung
DSci Associate Professor Hun Chung has published a new paper online in Economics & Philosophy, which is the flagship journal in PPE. The title of the paper is “Welfarism and Continuity in Ethical Theory: A Formal Comparison of Prospect Utilitarianism vs. Sufficientarianism.”

New Book by Dr. Adam Glynn
Congratulations to DSci Professor Adam Glynn on his new book Deadly Force: Police Shootings in Urban America. The book, published in June of 2025, was co-written with Michael Leo Owens (Emory Political Science) and Tom S. Clark (Stanford). Research was funded by the National Science Foundation.

Forthcoming AJPS Paper
Professors John Patty and Maggie Penn (Political Science/DSci) have a new paper, "Classification algorithms and Social outcomes", forthcoming in the American Journal of Political Science.
Algorithms, from credit scores to job applications, healthcare, and even how police decide where to patrol, influence everybody’s life. Some see these systems as neutral tools that simply categorize or “classify” things, like whether you’re creditworthy or a flight risk. In “Classification algorithms and social outcomes,” we present a theoretical analysis of what happens when algorithms don’t just classify people, but also change how people behave.


