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---
title: "Consensus"
description: |
The wisdom of experts
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
```

## Background Video
### Superforecasting
Are good forecasters born or made? How can one best design teams to produce better forecasts?
In this session, we cover work from the *Good Judgment Project* that has focused on answering these and related questions. Check out an interview by Phil Tetlock and read **Mellers & Tetlock (2019).** (ca. 60 minutes) for an overview of the Good Judgment Project and its main insights.
<iframe width="560" height="515" src="https://www.youtube.com/embed/-07DJ7xVBis" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
## Required Reading
Mellers, B. A. & Tetlock, P. E. (2019). From discipline-centered rivalries to solution-centered science. *American Psychologist, 74* (3), 290-300. [http://doi: 10.1037/amp0000429](https://github.com/matarui/ebdm/raw/main/docs/literature/MellersTetlock_2019_AP.pdf)
## Session Slides
{width=700px height=500px}
<!-- ## Additional Resources -->
<!-- ### Further Reading -->
<!-- A popular science book on the Good Judgment Project is available: -->
<!-- Tetlock, P.E. & Gardner, D. (2015). *Superforecasting: The art and science of prediction* Crown Publishers. [https://wsp.wharton.upenn.edu/book/superforecasting/](https://wsp.wharton.upenn.edu/book/superforecasting/) -->