Jennifer M. Logg, Ph.D.
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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 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).

Curriculum Vitae

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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

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       ​March 31, 2020
       Managing Algorithms
 
      ​Demystifying Organizations Podcast
       ​Listen on Spotify


Upcoming Talks:

​Psychology of Technology
Algorithms and Decision-Making
Oct. 26, 2020 @ 1pm Eastern
Talk: Algorithmic Hiring

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
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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


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  • Home
  • Research
  • Papers
  • Psychology of Big Data
  • Logg Lab
  • Press