The document discusses an algorithm developed to predict the number of H-1B work visa applications based on economic indicators. The algorithm uses data on the S&P 500, unemployment rate, sentiment analysis of news articles, and Google search trends on negative economic terms. It fits time shifts to these economic features before inputting them into a gradient boosted regression trees model to make predictions about H-1B visa applications over time based on the state of the economy.