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Race, Big Data, + Privilege (4 wk course, PUGS)

SE Uplift, 3534 SE Main
3534 SE Main Street
Portland, OR 97214, US (map)

Website

Description

“White supremacy’s greatest trick is that it has convinced people that, if it exists at all, it exists always in other people, never in us.” - Junot Diaz

Structural racism is insidious in two particular ways. First, it is normalized and thus difficult to see, particularly for those who benefit from it. Second, although it is ubiquitous, and most of us believe racism is uniquely and singularly bad, we also see it as separate from us. This causes us to deny or downplay its significance. Big data reveals white supremacy and brings our structural inequities to light. By analyzing data sets from various sources—from online dating sites to scholarly research on the death penalty—we can see these issues in relief.

In this course, we’ll explore what large aggregate data tells us about criminal justice, opportunities for jobs and housing, and even hierarchies of love. We’ll explore what these mean in terms of society's structure as a whole and what they mean for us personally.

Significant parts of this four-week course will involve class dialogue and self-examination of personal privilege. It’s meant as a safe space for people ready for uncomfortable conversations about how they benefit from, contribute to, and take steps away from structural racism.

Instructor: Douglas Tsoi, JD, is the founder of Portland Underground Grad School (PUGS). Previous careers include teaching high school history and ethics and intellectual property law. A nationally renowned education expert called Douglas "the best teacher I've ever seen teach." At PUGS, he teaches Financial Freedom, Criminal Law: How to Think Like a Lawyer, Behavioral Economics, How to Teach, Reading Ta-Nahisi Coates, and Racial Discrimination, Big Data, and Privilege.

Sign up: https://www.pugspdx.com/january-2018/race-big-data-privilege

Course meetings: Wednesdays from 6:30-8:30 PM

  • Jan 10
  • Jan 17
  • Jan 24
  • Jan 31

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