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Interactive video lesson plan for: The algorithm that could help end partisan gerrymandering

Activity overview:

We are living in the age of the algorithm. So why not apply data science to a decades old issue?

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A full copy of Professor Cho's paper is available here:

The Supreme Court has long recognized the potential for abuse in the redistricting system. But the Justices have had trouble establishing an objective measure to rule on the fairness of a political map.

Professor Wendy Tam Cho of the University of Illinois set out to fix this problem. Her goal? To create a “Computational Method for Identifying Extreme Redistricting Plans,” as she put it in the subtitle of one research paper. The video above gives an overview of the process Cho proposed.

If you would like to know more about your state’s redistricting law, I recommend checking out this website from Justin Levitt, a professor of constitutional law at Loyola University Law School.

Vox.com is a news website that helps you cut through the noise and understand what's really driving the events in the headlines. Check out http://www.vox.com to get up to speed on everything from Kurdistan to the Kim Kardashian app.

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Tagged under: vox.,vox,explain,gerrymandering algorithm,wendy tam cho,yan liu,partisan gerrymandering algorithm,wendy cho algorithm,redistricting,rigged elections,political data science,geographic sorting,seats votes curve,symmetry standard,partisan bias,decennial census,gerrymandering,political redistricting,United States elections

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