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According to experts, the findings from the Philadelphia Fed are particularly eye-opening. Historically, predicting closures of educational institutions has been a complex task due to the unique financial circumstances of each college. However, employing advanced machine learning techniques and algorithms has allowed researchers to quantify potential risks. In a worst-case scenario, a predicted decline of 15% in student applications could lead to the shuttering of numerous institutions, affecting more than 100,000 students and approximately 20,000 staff members. This stark statistic paints a troubling picture of the educational landscape.