The CoupCast project, directed by Dr. Curtis Bell, uses historical data and machine learning to predict the likelihood of a coup attempt occurring in every country each month. The model learns from past coup activity to identify the baseline risk factors and short-term triggers that greatly increase the chances of a coup. We update the forecast every month and regularly write short articles to highlight some of the more interesting insights generated by the CoupCast model. All of our data are open-source, unclassified, and available for free using the Dataset link below.
Countries at Highest Risk of a Coup this Month (Map)
Countries at Highest Risk of a Coup this Month (List)
