Systems methods and media for automatically identifying entrepreneurial individuals in a population using individual and population level data

A system for automatically identifying entrepreneurial individuals in a population using individual and population level data, the system comprising:

• a database storing:
• for each individual of at least ten thousand individuals:
• a grade for each of a plurality of classes completed by the individual;
• and
• identifying information of a class corresponding to each grade;
• and
• one or more hardware processors that are configured to:
• receive, from the database, identifying information of the plurality of classes completed by each of the at least ten thousand individuals;
• receive, from the database, the grade for each class for which identifying information was received;
• calculate, for each of the plurality of classes, a difficulty value of the class based on the grade for each individual having a grade for that class;
• modify, for each of the at least ten thousand individuals, each of a plurality of grades associated with the individual based on the difficulty value of a class corresponding to the grade;
• determine, for each of the at least ten thousand individuals, a variation metric associated with the individual's grades using the modified grades;
• determine, based on the variation metric for each of the at least ten thousand individuals, an average variation metric;
• receive, for a first individual, a grade for each class completed by the first individual and corresponding identifying information for the plurality of classes;
• modify the first individual's grades based on the difficulty value of the class corresponding to the grade;
• determine the variation metric of the first individual's grades using the first individual's modified grades;
• determine that the variation metric of the first individual's grades is larger than the average variation metric;
• in response to determining that the variation metric of the first individual's grades is larger than the variation metric, determine that the first individual is more likely than average to be entrepreneurial;
• in response to determining that the first individual is more likely than average to be entrepreneurial, add identifying information of the first student to a second database of potential entrepreneurs.