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Implicit Bias in Data Visualization (BIOME 2022 presentation)

Author(s): Derek Sollberger

Princeton University

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Summary:
We want to build cooperative spaces where students can improve the quality of their work in iterative ways. However, are we sure that students will rate each other in unbiased ways. We will take some time to address implicit biases that we may have…

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We want to build cooperative spaces where students can improve the quality of their work in iterative ways. However, are we sure that students will rate each other in unbiased ways. We will take some time to address implicit biases that we may have in an activity where we cultivate critical discussion and scientific skepticism to data visualization examples.

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Version 1.0 - published on 15 Jul 2022 doi:10.25334/HK8Q-YB53 - cite this

Description

We want to build cooperative spaces where students can improve the quality of their work in iterative ways. However, are we sure that students will rate each other in unbiased ways. We will take some time to address implicit biases that we may have in an activity where we cultivate critical discussion and scientific skepticism to data visualization examples.

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