Implicit Bias in Data Visualization (BIOME 2022 presentation)
Author(s): Derek Sollberger
UC Merced School of Natural Sciences
370 total view(s), 457 download(s)
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…
Contents:
BIOME_-_Implicit Bias in Data Visualization_-_pre-workshop materials.docx(DOCX | 18 KB)
Implicit Bias in Data Visualization_-_Slide Deck 1.pdf(PDF | 2 MB)- Implicit Bias in Data Visualization_-_Slide Deck 3.pdf(PDF | 1 MB)
Slide_deck_1.html(HTML | 32 KB)
Slide_deck_1.qmd(QMD | 3 KB)- Slide_deck_2.html(HTML | 88 KB)
- Slide_deck_2.qmd(QMD | 15 KB)
- Slide_deck_3.html(HTML | 36 KB)
- Slide_deck_3.qmd(QMD | 4 KB)
- License terms
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.
Cite this work
Researchers should cite this work as follows:
- Sollberger, D. (2022). Implicit Bias in Data Visualization (BIOME 2022 presentation). 2022 Biology and Mathematics Educators (BIOME) Institute, QUBES Educational Resources. doi:10.25334/EJ1Q-SD52