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The Center for Decision Sciences at Columbia Business School
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Welcome to the Center for Decision Sciences' Weekly Newsletter. Below you can find a list of events of interest.
We welcome constructive feedback and suggestions to improve this newsletter. You may unsubscribe from this newsletter (but remain on our mailing list for other information) by clicking here and unchecking "Receive Newsletter."
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Seminars of Interest at Columbia
Monday April 22nd
2:30 pm to 3:45 pm - IAB 1101
Economic Theory Workshop - Yusuke Narita (Yale University)
Title Not Available
Tuesday April 23rd
12:30 pm to 1:45 pm - Uris 142
Macroeconomics Lunch Group (Faculty Only) - Hassan Afrouzi
Title Not Available
12:30 pm to 2:00 pm - Uris 332
Management Seminar - Leanne ten Brinke (University of Denver)
Beyond Accuracy: Interpersonal, Emotional, and Physiological Reactions to Deceptions
2:15 pm to 3:45 pm - IAB 1101
Industrial Organization and Strategy - Ali Yurukoglu (Stanford University)
Title Not Available
Wednesday April 24th
4:05 pm - 5:35 pm - IAB 1101
Applied Microeconomics Seminar - Alex Mas (Princeton)
Title Not Available
Seminars of Interest at NYU
Tuesday April 23rd
12:30 pm to 2:00 pm - 6 Washington Place, Meyer 551
Social Psychology Brown Bag - Michelle Lee & Rachel Leshin
Title Not Available
2:40 pm to 4:00 pm - NYU Dept. of Economics, 19 W 4th St, Room 517
Neuroeconomics Colloquium - Todd Hare, Ph.D. (University of Zurich)
Dissociable Mechanisms Govern When and How Strongly Reward Attributes Affect Decisions
Thursday April 25th
12:30 pm - 1:30 pm - Psychology Room 121
Cognition and Perception Colloquia, 4th Year Talks-Eline Kupers & Aenne Brielmann
Title Not Available
Article of the Week
Defaults Are Not the Same by Default
A recent study, published by the Columbia Business School's Center for Decision Sciences affiliates Jon Jachimowicz, Shannon Duncan, Elke U. Weber, and Eric J. Johnson in the journal Behavioural Public Policy, utilizes meta-analysis to understand when and why defaults work. Their work found that on average, defaults are a strong choice architecture tool, shifting decisions by 0.63 to 0.68 standard deviations. On the other hand, they also found substantial differences in the effectiveness of defaults. In some studies, a default was far more effective than in other studies; and in others yet, defaults did not alter participants’ decisions. The researchers go on to explore reasons why this might be, and how choice-architects can take into account this knowledge when building defaults to help make them more effective.
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