Jump to content

Daniel Goldstein

From Wikipedia, the free encyclopedia

Daniel Goldstein
Born1969 (age 54–55)
United States
Alma materUniversity of Chicago
Known forDecision making
heuristics
AwardsMax Planck Institute Otto Hahn Medal (1997)
Scientific career
FieldsPsychology
Behavioral economics
Computer science
InstitutionsMicrosoft Research

London Business School
Columbia University

Max Planck Institute
Doctoral advisorGerd Gigerenzer
Websitedangoldstein.com

Daniel G. Goldstein (born 1969) is an American cognitive psychologist known for the specification and testing of heuristics and models of bounded rationality in the field of judgment and decision making. He is an honorary research fellow at London Business School and works with Microsoft Research as a principal researcher.

Education

[edit]

Goldstein received his Bachelor of Science degree in computer science from the University of Wisconsin–Madison in 1993 and a Ph.D. in Cognitive Psychology from the University of Chicago in 1997.[1]

Career

[edit]

Goldstein and his doctoral advisor Gerd Gigerenzer started the Center for Adaptive Behavior and Cognition at the Max Planck Institute in Germany, where Goldstein worked as a research scientist for several years.

In 2002, Goldstein became associate director of the Center for the Decision Sciences[2] at Columbia University before becoming an assistant professor of marketing at London Business School in 2005. In 2009, Goldstein accepted an offer as a principal research scientist at Yahoo! Research.[3] In 2012, Goldstein was part of a group of Yahoo scientists who left en masse to found the New York City lab of Microsoft Research, where he is senior principal research manager.[4][5]

Goldstein's doctoral thesis used computer simulation to study the accuracy and frugality of satisficing heuristics for making inferences. Investigations of the take-the-best heuristic[6] and the recognition heuristic[7] were later published as journal articles in Psychological Review and in the book Simple Heuristics That Make Us Smart.[8] These fast and frugal heuristics have since had an impact in medicine, law and politics, and other areas outside psychology.[9][10][11][12] With Eric J. Johnson, Goldstein authored an article on organ donation in the journal Science[13][14][15][16] Along with Nobel Laureate William F. Sharpe, he created the Distribution Builder method for eliciting probability distributions.[17][18][19] Hal Hershfield and Goldstein ran virtual reality experiments in which people saw renderings of themselves as senior citizens and increased their intentions to save for retirement, as discussed in Goldstein's TED talk The Battle Between Your Present and Future Self.[20]

In 2014, Goldstein was elected president of the Society for Judgment and Decision Making.[21]

Notable contributions

[edit]

References

[edit]
  1. ^ "Daniel Goldstein CV".
  2. ^ "The Center for the Decision Sciences - Home". Archived from the original on October 21, 2009. Retrieved July 23, 2015.
  3. ^ "Home | research.yahoo.com".
  4. ^ Strange, Adario (May 3, 2012). "Microsoft Opens New York Research Lab With Former Yahoo Scientists". PC Magazine.
  5. ^ "Dan Goldstein at Microsoft Research".
  6. ^ Gigerenzer, Gerd; Daniel G. Goldstein (1996). "Reasoning the fast and frugal way: Models of bounded rationality". Psychological Review. 103 (4): 650–669. CiteSeerX 10.1.1.174.4404. doi:10.1037/0033-295X.103.4.650. hdl:21.11116/0000-0000-B771-2. PMID 8888650. Retrieved February 27, 2008.
  7. ^ Goldstein, Daniel G.; Gerd Gigerenzer (2002). "Models of ecological rationality: The recognition heuristic". Psychological Review. 109 (1): 75–90. doi:10.1037/0033-295X.109.1.75. hdl:11858/00-001M-0000-0025-9128-B. PMID 11863042. Retrieved February 27, 2008.
  8. ^ Gigerenzer, G.; Todd, P. M. (1999). Simple Heuristics That Make Us Smart. the ABC Research Group. New York: Oxford University Press. ISBN 978-0-19-514381-2.
  9. ^ Bower, Bruce (May 29, 1999). "Simple Minds, Smart Choices". Science News. 155 (22): 348–349. doi:10.2307/4011573. JSTOR 4011573.
  10. ^ Menand, Louis (August 30, 2004). "The Unpolitical Animal". The New Yorker. Archived from the original on June 4, 2013.
  11. ^ Kiviat, Barbara (August 16, 2007). "Why We Buy the Products We Buy". Time. Archived from the original on October 18, 2007.
  12. ^ Gigerenzer, Gerd; Christoph Engel (2006). Heuristics and the Law. New York: MIT Press. ISBN 978-0-262-07275-5. Archived from the original on March 2, 2008. Retrieved February 29, 2008.
  13. ^ Johnson, Eric J.; Daniel G. Goldstein (2003). "Do defaults save lives?". Science. 302 (5649): 1338–1339. doi:10.1126/science.1091721. PMID 14631022. S2CID 166476782.
  14. ^ Porter, Eduardo (March 27, 2005). "Choice Is Good. Yes, No or Maybe?". The New York Times. Archived from the original on August 10, 2017. Retrieved February 27, 2008.
  15. ^ "Looking for Sound Financial Advice? Look to Psychology". APA Online; Psychology Matters. American Psychological Association. February 19, 2004. Retrieved February 27, 2008.
  16. ^ Thaler, Richard (September 27, 2009). "Opting in vs. Opting Out". The New York Times. Retrieved September 27, 2009.
  17. ^ Goldstein, DanielG.; Eric J. Johnson; William F.Sharpe (2008). "Choosing OutcomesVersus Choosing Products: Consumer-Focused Retirement Investment Advice". Journal of Consumer Research. 35 (3): 440–456. doi:10.1086/589562. S2CID 10083583.
  18. ^ Sharpe, William F.; Daniel G. Goldstein; Philip W. Blythe (October 10, 2000). "The Distribution Builder: A Tool for Inferring Investor Preferences". Archived from the original on October 15, 2007. Retrieved 2008-02-27.
  19. ^ "Distribution Builder Video". Retrieved February 27, 2008.
  20. ^ Hershfield, H.; Goldstein, D. G.; Sharpe, W. F.; Fox, J.; Yeykelis, L.; Carstensen, L. L.; Bailenson, J. N. (2011). "Increasing saving behavior through age-progressed renderings of the future self". Journal of Marketing Research. 48 (SPL): S23–S37. doi:10.1509/jmkr.48.SPL.S23. PMC 3949005. PMID 24634544.
  21. ^ "Society for Judgment and Decision Making".

Selected publications (listed chronologically)

[edit]
[edit]