Full Citation

Title: Melding Data with Social Justice in Undergraduate Statistics and Data Science Courses

Citation Type: Conference Paper

Publication Year: 2016

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Abstract: The world is increasingly filled with large, rich, and publicly-available data. These data are from a wide array of contexts including education, foreign policy, criminal justice, housing, and health care. Accordingly, undergraduate instructors of statistics and data science have an invaluable opportunity to engage students in social justice through the lens of quantitative analytics. In this paper I elaborate on ways I have incorporated these topics and data across a wide range of undergraduate statistics and data science courses. I also describe ways I seek to foster student reflection on the realities of social inequity, not just as data analysts but as world citizens. I conclude by discussing challenges I have faced and opportunities for future growth.

Url: http://iase-web.org/documents/papers/rt2016/Bergen.pdf

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Authors: Bergen, Silas

Conference Name: IASE 2016 Roundtable

Publisher Location: Berlin, Germany

Data Collections: IPUMS CPS

Topics: Education, Methodology and Data Collection, Other

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