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The program specifically aimed to broaden participation of underrepresented groups in computing by targeting economically disadvantaged, African American, Hispanic, and female students. A cohort of 15 high school students from the Chicago Public School system participated in this week-long lab-based data science program learning about a variety of data science methods and their applications, including data visualization, distance-based methods, classification, clustering and others. 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