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ELE Calling Bull slides Feb 2024

Carrie Diaz Eaton

Version: 1.0

These are the slides for a talk given by Dr. Carrie Diaz Eaton about teaching Calling Bull. The talk was hosted by Every Learner Everywhere on February 9, 2024.
RStudio, information literacy, data literacy, Science and society, ethics, Figure of the Day, calling bull, data viz, racism, critique, Intersectionality, colab
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02.2024
Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
data visualization, R programming language, data literacy, calling bull, data viz, tidy data
1.3K
451
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06.2021
Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
data visualization, R programming language, data literacy, calling bull, data viz, tidy data, Our World in Data, Dear Data
1.3K
745
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06.2021

Final Project for Calling Bull

Carrie Diaz Eaton

Version: 1.0

This is the final project for the calling bull course & it is to find 3 pieces of misinformation/BS and debunk them. They have to re-do at least one visualization, use R in at least one debunking, and publicly refute at least one piece.
statistics, information literacy, calling bull, eportfolio
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06.2021
In 2004, the journal Nature published a short tongue-in-cheek paper by Tatem and colleagues meant to critique common abuses in linear modeling while fitting data from the Olympic gold medal times for men and women in the 100-meter dash.
calling bull, track and field, reproducing results, linear modeling, critique
632
227
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06.2021

Case Study — World records as measures of senescence or randomness

Carrie Diaz Eaton, Carl Bergstrom, Jevin West

Version: 1.0

This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less athletes competing in each age category).
R, RStudio, programming, sampling distribution, Probability & Statistics, randomness, continuous probability distribution
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452
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11.2020

Case Study - Storks vs Babies

Carrie Diaz Eaton

Version: 1.0

This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation vs causation in a fun way.
R, ecology, case study, RStudio, population ecology, birds, replication, correlation, funny, calling bull, pvalue, causation, biostats, alternative explanation, confounding variables
988
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11.2020

Calling Bull Case Study — 99.9% Caffeine-free with R

Carrie Diaz Eaton, Carl Bergstrom, Jevin West

Version: 1.0

This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.
R, case study, RStudio, introduction, Percentages, calling bull, stoichiometry, caffiene, scripts
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11.2020

BS Inventory assignment

Carrie Diaz Eaton

Version: 1.0

This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.
data visualization, project, data collection, data viz, creativity, misinformation, real world, bull
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250
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11.2020

Weekly Reflection Template for Calling Bull

Carrie Diaz Eaton

Version: 1.0

This is a weekly reflection template designed to induce reflection about week's themes, integrate the week's themes into ones life, and identify any issues or successes students are having to inform instruction.
reflection, engagement, data viz, misinformation, memes, weekly
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11.2020

Calling Bull in an Age of Big Data with R

Carrie Diaz Eaton

Version: 2.0

Use the calling bull course to introduce students to data, ethics, visualization, and R.
data science, information literacy, data literacy, ethics, callin bull, calling bull
2.6K
2.2K
0
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05.2019

Calling Bull: Data Reasoning in a Digital World

Carl Bergstrom, Jevin West

Version: 1.0

"So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."
data science, information literacy, data literacy, ethics, callin bull, calling bull
1.4K
366
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04.2019