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Activity Number: 383 - Teaching with Data for the Public Good
Type: Invited
Date/Time: Wednesday, August 5, 2020 : 1:00 PM to 2:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #309211
Title: Difficult Dialogues: Communicating Data Analyses Effectively
Author(s): Johanna Hardin*
Companies: Pomona College
Keywords: fair machine learning; case study; real-world problems

Publicly available data from the Stanford Computational Policy Lab on racial profiling in "stop data" (the information gathered when police officers make discretionary stops) is used for a lab that can be modified to fit a variety of levels for a statistics or data science classroom. We work though the Policy Lab's published report as well as providing ideas for new statistical insight into the data. The Policy Lab has compiled datasets from state patrol reports of most states as well as local police stop data in dozens of cities. The data will be downloaded directly from the Policy Lab's repository, and through complete analyses, students are required to model, visualize, and communicate their results effectively.

Authors who are presenting talks have a * after their name.

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