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A New Way to Think of Risk

A New Way to Think of Risk. Presented by Eric D. Smith & Bill Siefert May 22, 2008 Location: Boeing B270, B Wing, Room 355 (Level 3) Networking/Lunch: 11:00 a.m. Presentation: 11:30 a.m. - 12:30 p.m.

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A New Way to Think of Risk

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  1. A New Way to Think of Risk Presented by Eric D. Smith & Bill Siefert May 22, 2008 Location: Boeing B270, B Wing, Room 355 (Level 3) Networking/Lunch: 11:00 a.m. Presentation: 11:30 a.m. - 12:30 p.m. Abstract: Risk matrices used in industry characterize particular risks in terms of the likelihood of occurrence and the consequence of the actualized risk. Human cognitive bias research led by Daniel Kahneman and Amos Tversky exposed systematic translations of objective probability and value as judged by human subjects. An examination of industry-generated risk "cube" data reveal evidence of biases in the judgment of likelihood and consequence. In addition, other biases -- including a 'diagonal bias' -- are revealed in the risk cube data. The evidence presented could improve risk cube based risk analysis. This is the first time that the effects of cognitive biases have been documented within the risk cube. The data show clear evidence that probability and value translations, as likelihood and consequence judgments, are present in industry risk cube data. The straightforward steps in the development of this conclusion were as follows: 1) the translations were predicted by prospect theory, and, 2) historical data from 2 programs within 1 company confirmed the main predictions. Risk cubes have thus been shown to be, not objective number grids, but subjective, albeit useful, means to verify that risk items have received risk-mitigating attention. Biography: Eric D. Smith earned a B.S. in Physics in 1994, and his Ph.D. in Systems and Industrial Engineering in 2006 from the University of Arizona. He is currently at the Department of Engineering Management and Systems Engineering, at the Missouri University of Science & Technology, where he teaches in the Boeing Systems Engineering Graduate Program. His professional interests include cognitive biases in decision-making, risk analysis, tradeoff studies, and management. William T. Siefert earned his B.S. in Business Administration in 1987 from the University of Redlands, and his M.S. in Systems Engineering from the Missouri University of Science & Technology in 2007. He has been a practicing engineer in aerospace since 1973, working for several major corporations including The Boeing Company, where he is currently employed. Directions: B270 is located at Corner of I-270 and McDonnell Blvd No reservations required, but please contact Sandra Welch at: sandra.j.welch@boeing.com or 314-233-3903 by COB May 16th if you plan to attend for a lunch count and badging for non-Boeing attendees.

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