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    Calling Bull in an Age of Big Data with R
    Use the calling bull course to introduce students to data, ethics, visualization, and R.
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    Calling Bull: Data Reasoning in a Digital World
    "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."
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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College
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    Calling Bull Case Study — 99.9% Caffeine-free with R
    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.
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Final Project for Calling Bull
    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,...
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    DCS 105 F24 Reading List Bates College
    The reading list for DCS 105 Calling Bull: Data Literacy and Information Science is curated to enhance students' understanding of misinformation and its impact on society.
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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.
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    Case Study - Storks vs Babies
    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...
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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.
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    BS Inventory assignment
    This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.
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    Weekly Reflection Template for Calling Bull
    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...
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    Pennies to The Moon Data Byte Series
    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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    Case Study — The Gender gap in 100-meter dash times
    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...
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    Calling Bullshit DCS 105 Bates College Breakout Group Slides
    This is a slide deck containing all breakout group slides for the course DCS 105 - Calling Bullshit at Bates College.
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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.
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    Long Term Self-assessment Bates College DCS 105
    This is a long-term self-assessment tool for students participating in the Bates College course DCS 105 Calling Bull: Data Literacy and Information Science. .
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    Calling Bullshit DCS 105 Bates College Figure of the Day
    Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown.
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