Jennifer M. Logg, Ph.D.
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  • Psychology of Big Data Courses
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New Paper: The Cost of Generative AI Collaboration Strategies to the Psychological Experience of Work
​New Paper: A Simple Explanation Reconciles “Algorithm Aversion” and “Algorithm Appreciation”: Hypotheticals vs. Judgments ​

 Read Prof. Logg's Harvard Business Review articles here


Press

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December 6, 2023
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​Georgetown Magazine
Buying and Selling: Mind the Data
Rachel Ellis
Covering "The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms" and other work

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March 25, 2023
​Axios
How AI might change our judgement and decision-making
Alison Snyder

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March 25, 2023
​The Georgetown Voice
ChatGPT is not the end of written integrity
Kulsum Gulamhusein

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​March 27, 2023
Office Hours: Evolution of Norms During the Pandemic
Covering "Risk Creep: A COVID-19 Longitudinal Field Study" paper with Cathy Tinsley


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August 2021
Office Hours: Jennifer Logg on the Psychology of Big Data and Perceptions of Algorithms
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Nov-Dec 2020 Issue
Harvard Business Review Magazine
Confidence Doesn't Always Boost Performance
Gardiner Morse

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September 6, 2020
Quartz
How individuals and companies can get better at making decisions
Walter Frick

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September 6, 2020
Quartz at Work
How to improve your decision-making process
Walter Frick

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September 6, 2020
Quartz at Work
How to overcome overconfidence bias
Walter Frick & David Yanofsky

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October 18, 2016
Harvard Business Review
Why We Don't Trust Driverless Cars — Even When We Should

Kartik Hosanagar and Imran Cronk
​Past Speaking Engagements
Click links for Talks, Papers, and Programs

Talk: Developing a "Theory of Machine"
Naval Applications of Machine Learning
NIWC Pacific Workshop

March 2024

Talk: A Simple Explanation Reconciles
“Algorithm Aversion” and “Algorithm Appreciation”:
​Hypotheticals vs. Real Judgments
 
JDM Conference
San Francisco, CA
Nov 2023

Talk: Anticipated Preferences vs. Utilization of Algorithmic Advice
ACR Conference 
Denver, CO
Oct 2022

Talk: Anticipated Preferences vs. Utilization of Algorithmic Advice
AOM Conference 
Understanding the Future of Work
​with Algorithms, AI, & Automation
Aug 6, 2022

Panel Webcast: Building Social Science into the Foundation of AI Practice
Invited Panelist
Produced by Stanford University's Center for Advanced Study in the Behavioral Sciences
June 14, 2022
Summary
Video
Podcast


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: Algorithmic Hiring
APA Conference 
Advancing Human-AI Communication and Interaction Symposium
Invited Speaker
May 2022
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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
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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
Photo from David Pirmann
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  • Research
  • Papers
  • Psychology of Big Data Courses
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