In the United States, foreign nationals who fear persecution in their home country can apply for asylum under the Refugee Act of 1980.
The project uses a large data set secured under a Freedom of Information Act (FOIA) request detailing United States Asylum court decisions going back multiple decades and machine learning to predict the outcomes of the cases.
We are able to predict the final outcome of a case with 80% accuracy at the time the case opens. Using data available on the decision date, our model correctly classifies 82% of all refugee cases by 2019.
This app should be used with the caveat that it renders only a prediction based on the inputs you provide.
ContributorsMatthew Thomas Dunn
Special ThanksJaya Ramji-Nogales