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- All HBS Web
(2,255)
- People (7)
- News (935)
- Research (847)
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- Faculty Publications (362)
Show Results For
- All HBS Web
(2,255)
- People (7)
- News (935)
- Research (847)
- Events (7)
- Multimedia (72)
- Faculty Publications (362)
- October – December 1998
- Article
The Evidence Does Not Speak for Itself: Expert Witnesses and the Organization of DNA Typing Companies
By: Arthur A. Daemmrich
Daemmrich, Arthur A. "The Evidence Does Not Speak for Itself: Expert Witnesses and the Organization of DNA Typing Companies." Special Issue on Contested Identities: Science, Law and Forensic Practice. Social Studies of Science 28, nos. 5/6 (October–December 1998): 741–772.
- Article
Is it Better to Average Probabilities or Quantiles?
By: Kenneth C. Lichtendahl, Yael Grushka-Cockayne and Robert L. Winkler
We consider two ways to aggregate expert opinions using simple averages: averaging probabilities and averaging quantiles. We examine analytical properties of these forecasts and compare their ability to harness the wisdom of the crowd. In terms of location, the two... View Details
Keywords: Probability Forecasts; Quantile Forecasts; Expert Combination; Linear Opinion Pooling; Forecasting and Prediction
Lichtendahl, Kenneth C., Yael Grushka-Cockayne, and Robert L. Winkler. "Is it Better to Average Probabilities or Quantiles?" Management Science 59, no. 7 (July 2013): 1594–1611.
- June 13, 2014
- Article
Guoneiwai gaoceng zhuanjia gonglun kechixu fazhan duice [Senior Experts from Home and Abroad on the Sustainable Development Strategy]
By: Robert G. Eccles Jr.
Eccles, Robert G., Jr. "Guoneiwai gaoceng zhuanjia gonglun kechixu fazhan duice [Senior Experts from Home and Abroad on the Sustainable Development Strategy]." Guangming ribao [Guangming Daily] (June 13, 2014).
- January–February 2022
- Article
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)