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Detecting Anomalies in the 2020 Election

Offered By: Joint Mathematics Meetings via YouTube

Tags

Data Analysis Courses Statistics & Probability Courses Anomaly Detection Courses

Course Description

Overview

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Explore the intricacies of election integrity in this 59-minute MAA Invited Address delivered by Stephanie Singer from Portland State University's Hatfield School of Government and Verified Voting. Delve into the methodologies and challenges of detecting anomalies in the 2020 U.S. election, gaining insights into the intersection of mathematics, statistics, and electoral processes. Examine the techniques used to identify potential irregularities and understand the importance of data analysis in ensuring fair and transparent elections.

Syllabus

Stephanie Singer, "Detecting anomalies in the 2020 election"


Taught by

Joint Mathematics Meetings

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