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Newsletter 218: October 15, 2018


The Center for Decision Sciences at Columbia Business School
Welcome to the Center for Decision Sciences' Weekly Newsletter. Below you can find a list of events of interest.

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Seminars of Interest at Columbia

Monday October 15th 

2:30pm to 3:45pm - 1101 IAB
Economic Theory Workshop - Dan Friedman (University of California, Santa Cruz)
Title Not Available 

Tuesday October 16th 

12:30pm to 1:45pm - Uris 331
Marketing Seminar - Giorgos Zervas (Boston University)
The Welfare Impact of Consumer Reviews: A Case Study of the Hotel Industry 

12:30pm to 1:30pm - Uris 140 
PhD Student Seminar - Susana Martins
Modeling time-varying volatility interactions with an application to volatility contagion

12:30 pm to 2:00pm - Uris 307 
Columbia Macro Lunch Group - Agnieszka Dorn 
Title Not Available 

2:15pm to 3:45pm - 1101 IAB 
Industrial Organization and Strategy - Guido Friebel (Goethe University)
Title Not Available 

4:15pm to 5:45pm - 1101 IAB
Money-Macro Workshop - Ralph Luetticke (University College London)
Title Not Available 

Wednesday October 17th 

4:15pm to 5:45pm - 1101 IAB 
Applied Microeconomics: Environment, Health, Labor and Public Finance Seminar - Day Manoli
Title Not Available 

Seminars of Interest at NYU

Tuesday October 16th 

12:30pm to 2:00pm - Meyer 551
Social Psychology Brown Bags - Alexa Hubbard and Ryan Stolier
Title Not Available 

Thursday October 18th 

12:30pm to 1:30pm - Psychology Room 121 
Cognition and Perception Colloquia - Tom Griffiths (Princeton University) 
Title Not Available 

Article of the Week
Codes of ethics probably don’t work
Software companies have started to adopt codes of ethics, similar to the moral guidelines that bind doctors and lawyers, to help ensure better decision-making. A new study by North Carolina State University professor Emerson Murphy-Hill found that the ACM’s newly developed code of ethics had no impact on the decision-making of computer scientists. But something else did: history.  A subset of the programmers who participated in the study had heard of one of the historical situations the researchers presented – Dieselgate. All of the people who heard of Dieselgate made decisions suggesting that they wouldn’t build software to evade regulations, far more than participants without knowledge of the scandal.

This newsletter is cosponsored by the Center for Decision Sciences and the Decision Making & Negotiations Area.

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