The strengths and weaknesses of crowds to address global problems
SB Broomell, CP Davis-Stober - … on Psychological Science, 2024 - journals.sagepub.com
Global climate change, the COVID-19 pandemic, and the spread of misinformation on social
media are just a handful of highly consequential problems affecting society. We argue that …
media are just a handful of highly consequential problems affecting society. We argue that …
[HTML][HTML] Introduction to the special issue on judgment and decision research on the wisdom of the crowds.
The benefits of relying on crowds of experts, judges, and even crowds of laypeople, when
faced with uncertainty, have long fascinated researchers and practitioners alike (Clemen & …
faced with uncertainty, have long fascinated researchers and practitioners alike (Clemen & …
The Joint Weighted Average (JWA) Operator
SB Broomell, C Wagner - International Conference on Soft Methods in …, 2024 - Springer
Abstract Information aggregation is a vital tool for human and machine decision making in
the presence of uncertainty. Traditionally, approaches to aggregation broadly diverge into …
the presence of uncertainty. Traditionally, approaches to aggregation broadly diverge into …
The Joint Weighted Average (JWA)
SB Broomell¹, C Wagner - Combining, Modelling and Analyzing …, 2024 - books.google.com
Information aggregation is a vital tool for human and machine decision making in the
presence of uncertainty. Traditionally, approaches to aggregation broadly diverge into two …
presence of uncertainty. Traditionally, approaches to aggregation broadly diverge into two …
The collective wisdom of behavioral game theory
We apply an algorithm from the wisdom-of-crowds literature to optimally combine behavioral
game theory models to more accurately predict strategic choice in one-shot, simultaneous …
game theory models to more accurately predict strategic choice in one-shot, simultaneous …
Getting more wisdom out of the crowd: The case of competence-weighted aggregates
M Goedde-Menke, E Diecidue, A Jacobs… - Available at SSRN …, 2022 - papers.ssrn.com
This paper shows that group discussions can serve as an instrument to improve individuals'
calibration, which in turn strongly increases the accuracy of competence-weighted, statistical …
calibration, which in turn strongly increases the accuracy of competence-weighted, statistical …
A Regularized Weighting Model of Judgment Aggregation
In principle, information about forecasters' past performance can be used to weight their
forecasts to construct an optimal (most accurate) aggregate prediction. In practice, however …
forecasts to construct an optimal (most accurate) aggregate prediction. In practice, however …