What leads people to make inaccurate judgments?
When are they willing to use algorithms to improve their accuracy?
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Jennifer M. Logg, Ph.D.
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. I recently wrote a book chapter on the topic, called The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms. In 2021, my paper, "Algorithm Appreciation," ranked #1 on the list of "Most Cited Organizational Behavior and Human Decision Processes Articles Since 2018." I received the 2019 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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June 15, 2021
Theory of Machine The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms book chapter now available on SSRN. American Psychological Association Handbook of Psychology of Technology, expected in 2022 |
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Nov. 17, 2020
A Social Perspective of a Cognitive Bias: Overconfidence is Contagious Harvard Business Review |
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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
Max Planck Institute
Talk: Algorithmic Hiring
Psychology of Technology
Algorithms and Decision-Making Session
Oct. 26, 2020 @ 1pm Eastern
Talk: Algorithmic Hiring
See video here: https://www.psychoftech.org/rising-stars-data-blitz
Academy of Management
Aug. 10, 2020 @ 2pm
Session: Algorithmic Decision Making
Talk: Algorithmic Hiring
Invited Talk
DC United
July 21, 2020
Talk: Using Algorithms to Detect Bias
Invited Talk
Naval Applications of Machine Learning
NIWC Pacific Workshop
Feb. 24, 2020
Talk: Using Algorithms to Detect Bias
Invited Talk
Harvard University
Science Based Business Initiative
Co-Sponsored by Economics of Science & Engineering and
Technology & Operations Management
Postponed
Talk: Algorithm Appreciation
Invited Talk
Max Planck Institute
Talk: Algorithmic Hiring
Psychology of Technology
Algorithms and Decision-Making Session
Oct. 26, 2020 @ 1pm Eastern
Talk: Algorithmic Hiring
See video here: https://www.psychoftech.org/rising-stars-data-blitz
Academy of Management
Aug. 10, 2020 @ 2pm
Session: Algorithmic Decision Making
Talk: Algorithmic Hiring
Invited Talk
DC United
July 21, 2020
Talk: Using Algorithms to Detect Bias
Invited Talk
Naval Applications of Machine Learning
NIWC Pacific Workshop
Feb. 24, 2020
Talk: Using Algorithms to Detect Bias
Invited Talk
Harvard University
Science Based Business Initiative
Co-Sponsored by Economics of Science & Engineering and
Technology & Operations Management
Postponed
Talk: Algorithm Appreciation
