What leads people to make inaccurate judgments?
When are they willing to use algorithms to improve their accuracy?
Jenn Logg
I am an Assistant Professor of Management at Georgetown University's McDonough School of Business. Prior to joining Georgetown, I was a Post-Doctoral Fellow at Harvard University. I received my Ph.D. from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business.
My work examines why people fail to view themselves and their work realistically. My research focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). I call my primary line of research, Theory of Machine. Broadly, this work examines how people expect algorithmic and human judgment to differ.
Recently, I received the 2018 Early Career Award for the paper "Is overconfidence a motivated bias?" as judged by the Journal of Experimental Psychology's editors (from five sections).
I am an Assistant Professor of Management at Georgetown University's McDonough School of Business. Prior to joining Georgetown, I was a Post-Doctoral Fellow at Harvard University. I received my Ph.D. from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business.
My work examines why people fail to view themselves and their work realistically. My research focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). I call my primary line of research, Theory of Machine. Broadly, this work examines how people expect algorithmic and human judgment to differ.
Recently, I received the 2018 Early Career Award for the paper "Is overconfidence a motivated bias?" as judged by the Journal of Experimental Psychology's editors (from five sections).
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Aug. 8, 2019
Algorithms as Magnifying Glasses: Using Algorithms to Understand the Biases in Your Organization Harvard Business Review |
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May 10, 2019
Harnessing the Wisdom of Crowds: How Asking Multiple People for Advice Can Backfire Harvard Business Review |
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Oct. 26, 2018
Stop Naming Your Algorithms: Do People Trust Algorithms More Than Companies Realize? Harvard Business Review |
Upcoming Talks:
Invited Talk at Yale University
Sept. 13, 2019
Yale School of Management
Talk: Algorithm Appreciation
Technology, Mind and Society Conference
Hosted by APA
October 4, 2019: 2:45pm - 4:00pm
Washington, D.C.
Session: Algorithms and Advice
Talk: Algorithm Appreciation
SJDM 2019
November 15-18
Montreal, Canada
Talk: Everybody argues and everybody wins:
Overestimation of success as a driver of debate
Invited Talk at Yale University
Sept. 13, 2019
Yale School of Management
Talk: Algorithm Appreciation
Technology, Mind and Society Conference
Hosted by APA
October 4, 2019: 2:45pm - 4:00pm
Washington, D.C.
Session: Algorithms and Advice
Talk: Algorithm Appreciation
SJDM 2019
November 15-18
Montreal, Canada
Talk: Everybody argues and everybody wins:
Overestimation of success as a driver of debate
Updates:
- Invited revision at Journal of Experimental Psychology: General: Social contagion of overconfidence
- Published in Organizational Behavior and Human Decision Processes: Algorithm Appreciation (Job Market Paper)
- Published in Organizational Behavior and Human Decision Processes: Seeker Beware
- Published in Journal of Experimental Psychology: General: Is overconfidence a motivated bias?
- 2018 Early Career Award
