Jennifer M. Logg, Ph.D., is an Assistant Professor of Management at Georgetown University's McDonough School of Business. Prior to joining Georgetown, she was a Post-Doctoral Fellow at Harvard University's Harvard Business School and Harvard Kennedy School. Dr. Logg received her Ph.D. from the University of California, Berkeley, Haas School of Business.
Accuracy & Algorithms
Her research examines how people can assess themselves and the world more accurately by using advice and feedback from algorithms. More broadly, her program of research, Theory of Machine , examines how people expect algorithmic and human judgment to differ.
The Psychology of GenAI
GenAI needs Psychology. Logg's research takes a cost-benefit perspective to GenAI by testing how different GenAI Collaboration Strategies impact both productivity and the psychological experience of work.
The F.B.I., U.S. Senate, Air Force, and Navy have invited her to speak with decision-makers predictive accuracy and algorithms. She served on the faculty committee that created the Masters of Science in Business Analytics at Georgetown and she is currently a Faculty Fellow at Georgetown's AI, Analytics, and the Future of Work Initiative.
- Her paper, "Algorithm Appreciation," has 3,000+ citations.
- Her paper, "Is overconfidence a motivated bias?" received the Early Career Award from the Journal of Experimental Psychology (across five sections)
- Poets & Quants listed her as one of the Top 50 Undergraduate Business Professors and she received the student nominated Georgetown Career Champion Award.
Academic Appointment(s)
- Primary
- Assistant Professor, MSB - Management Area