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MINNESOTA PROFESSIONALS FOR PSYCHOLOGY APPLIED TO WORK

September Event: Best of Both Worlds: Human Controlled Decision Making with Algorithmic Advisors - Dr. Nathan Kuncel - Hybrid

  • September 17, 2024
  • 5:30 PM - 8:00 PM
  • Courtyard at Marriott; 1500 Washington Ave S, Minneapolis, MN, 55454 or online (Zoom)

Registration

  • Entry is free for MPPAW members only.

    If you are not a member, please go under memberships/passes -> sign-up/pay one-time fee to get access for that month! Registering for this event does not grant you automatic access without payment, and is instead used to track how many people are interested in attending.

Registration is closed

This event is free to MPPAW members. If you are not an MPPAW member, one-time passes are also available under the Membership page. Registering for this event does not grant you automatic access without payment, and is instead used to track how many people are interested in attending.

Speaker: Dr. Nathan Kuncel, University of Minnesota

Title: Best of Both Worlds: Human Controlled Decision Making with Algorithmic Advisors

Description: We are regularly confronted with decisions that require considering and integrating multiple pieces of information to arrive at a decision. Making hiring and admissions decisions are classic examples. Although algorithmic combination of information tends to be highly effective, many decision makers prefer human decision making despite well documented limitations. Building on research that illuminates why and when decision makers tend to stumble, Dr. Marvin Neumann of Vrije Universiteit in Amsterdam and I have investigated a series of approaches that preserve human decision making while enhancing it with algorithm based advisors. This talk will discuss our findings and incorporate interactive elements to illustrate key points and our current recommendations for the applied use of algorithmic advisors.

About our speaker:

Dr. Nathan Kuncel is the Marvin D. Dunnette Distinguished Professor of Industrial-Organizational Psychology and a Distinguished McKnight University Professor at the University of Minnesota where he also earned his doctorate in Psychology. Nathan’s research generally focuses how individual characteristics (skills, personality, interests) influence subsequent work, academic, and life success as well as efforts to model and measure success. He also studies how people use information to make decisions and how this impacts admissions and hiring decisions. Nathan’s work has appeared in Science, Harvard Business Review, Psychological Bulletin, Review of Educational Research, The Wall Street Journal, Psychological Science, Perspectives on Psychological Science, among others. Nathan is a Fellow of the Association for Psychological Science, the American Psychological Association, and the Society for Industrial and Organizational Psychology. He received the Anne Anastasi Award from the American Psychological Association, the Cattell Research Award from the Society of Multivariate Experimental Psychology, the Jeanneret Award from the Society for Industrial and Organizational Psychology, was made McKnight Presidential Fellow by the University of Minnesota, and delivered the Esther Rosen Lecture for the American Psychological Foundation.

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