JohnNay/predMarket
Computational simulation framework for analyzing trading behavior in climate prediction markets
This project offers a computational framework to simulate prediction markets for climate change. It takes various market and climate parameters as input and models how traders adapt their beliefs about global temperature drivers based on others' profits within their social network. The output shows how public consensus evolves regarding the causes of climate change, such as CO2 versus solar irradiance. Climate scientists, policy analysts, and social scientists studying public perception and consensus building would find this useful.
No commits in the last 6 months.
Use this if you want to model and understand how prediction markets might influence public belief and consensus formation around complex scientific issues like climate change.
Not ideal if you're looking for real-time market prediction, financial trading advice, or a tool to directly analyze physical climate data.
Stars
23
Forks
9
Language
HTML
License
—
Category
Last pushed
Jul 12, 2020
Commits (30d)
0
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