Jennifer M. Logg, Ph.D.
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Theory of Machine Book Chapter
The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms

What leads people to make inaccurate judgments?​
​When are they willing to use algorithms to improve their accuracy?

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Curriculum Vitae
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 research examines why people fail to view themselves and their performance realistically. My primary line of research examines how people respond to advice and feedback from algorithms (scripts for mathematical calculations), which can help them improve their accuracy.  Read more about this research here and in my book chapter.   

I have been invited to speak on algorithms with decision-makers in the U.S. Senate, Air Force, and Navy.  During my Ph.D., I was a collaborator on the Good Judgment Project, funded by IARPA, Intelligence of Advanced Research Projects Activity, the US intelligence community’s equivalent of DARPA.  Currently, I am a core member of a working group based at Stanford University's Center for Advanced Study in the Behavioral Sciences and funded by the Rockefeller Foundation called, "Theory of AI Practice."  I am a Faculty Fellow at Georgetown University's AI, Analytics, and the Future of Work Initiative.
Updates:
  • Top 50 Undergraduate Business Professors by Poets & Quants (2022)
  • Chapter: The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms (2021)
  • Paper: Algorithm Appreciation
    • Ranked #1 on list of "Most Cited Organizational Behavior and Human Decision Processes Articles Since 2018" (2021)
  • Talk: Algorithmic Hiring, Psychology of Technology's Early Career Researchers Data Blitz (2020)
  • Paper: Is overconfidence a motivated bias?
    • Early Career Award as judged by the Journal of Experimental Psychology's editors (from five sections; 2019)

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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 
American Psychological Association Handbook of Psychology of Technology
  • Covered in Georgetown's "Office Hours"

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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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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


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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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Nov. 17, 2020
A Social Perspective of a Cognitive Bias:

Overconfidence is Contagious
Harvard Business Review

Upcoming Talks

Talk: Pre-Registration: Weighing Costs and Benefits for Researchers
Invited Speaker
HEC Montreal Research Day on Replication and Open Science
​April 5, 2022


Talk: Developing a "Theory of Machine"
Harvard University
Lerner Lab
April 8, 2022

Talk: Anticipated Preferences vs. Utilization of Algorithmic Advice
APA Conference 
Advancing Human-AI Communication and Interaction Symposium
Invited Speaker
May 2022

Past Speaking Engagements
Click links for Talks, Papers, and Programs
​
Invited Panelist
Workshop on AI For Behavior Change

Talk: Developing a "Theory of Machine"
​Invited Talk
Max Planck Institute
May 4, 2021
Talk: www.youtube.com/watch?v=xyDR9kQ5YDk

Talk: Algorithmic Hiring
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Psychology of Technology
Algorithms and Decision-Making Session
Oct. 26, 2020
Talk: https://www.psychoftech.org/rising-stars-data-blitz

Talk: Algorithmic Hiring
Academy of Management
Aug. 10, 2020
Session: Algorithmic Decision Making

Talk: Using Algorithms to Detect Bias
Invited Talk
DC United (MLS Soccer)
July 21, 2020
​
Talk: Using Algorithms to Detect Bias
Invited Talk
Naval Applications of Machine Learning
NIWC Pacific Workshop

Feb. 24, 2020

Invited Interview (Information Collection Stage)
U.S. Senate
Oct. 18, 2019
Consumer Online Privacy Rights Act (COPRA) Bill Introduced 11.26.19
Overview of Bill

 Talk: Algorithm Appreciation
Invited Talk, Postponed
​Harvard University

Science Based Business Initiative
Co-Sponsored by Economics of Science & Engineering and 
Technology & Operations Management


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  • Research
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  • Psychology of Big Data
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