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.

Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College

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. .

Schedule overview for Bates College Course DCS 105 Calling Bull

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.

These are handout worksheets for your in-class RByte activities.

Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown.

This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.

This is a slide deck containing all breakout group slides for the course DCS 105 - Calling Bullshit at Bates College.

This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.

This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.

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.

Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.

Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.

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.

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.

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).

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.

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.

This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.

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.

Use the calling bull course to introduce students to data, ethics, visualization, and R.

"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."