FAQ

The Good Judgment Project

Known as: Good Judgment Project 
The Good Judgment Project (GJP) is a project "harnessing the wisdom of the crowd to forecast world events". It was co-created by Philip E. Tetlock… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

2012-2016
01220122016

Related topics

Related topics

4 relations

Broader (1)

Crowdsourcing
Financial TimesThe Wisdom of CrowdsWisdom of the crowd

Related mentions per year

Related mentions per year

1948-2018
19401960198020002020
The Good Judgment Project
Crowdsourcing
Financial Times
Wisdom of the crowd
The Wisdom of Crowds

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An IRT forecasting model: linking proper scoring rules to item response theory
This article proposes an Item Response Theoretical (IRT) forecasting model that incorporates proper scoring rules and provides… (More)
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Review
2016
Review
2016
Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner
Let me say from the outset that this is an excellent book to read. It is not only informative, as it should be for a book on… (More)
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2015
2015
The Good Judgement Project: Identifying Power Constraints to Improve Accuracy in Geopolitical Forecasting
  • Morgan Motzel
  • 2015
This paper sets out to explore the relationships between institutional constraints and predictability in geopolitical forecasting… (More)
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Review
2014
Review
2014
Handling and Mishandling Estimative Probability : Likelihood , Confidence , and the Search for Bin Laden
In a series of reports and meetings in Spring 2011, intelligence analysts and officials debated the chances that Osama bin Laden… (More)
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Review
2014
Review
2014
Why Assessing Estimative Accuracy Is Feasible and Desirable
The US Intelligence Community (IC) has been heavily criticized for making inaccurate estimates. Many scholars and officials… (More)
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2012
2012
The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions
Many methods have been proposed for making use of multiple experts to predict uncertain events such as election outcomes, ranging… (More)
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