Schedule
| Week | Reading | Materials | What's Due? |
| Jan 19 | Introductions | R Notes | First Assignment |
| Jan 26 | Data as Power, Data Wrangling | R Notes | Assignment 2 |
| Feb 2 | Racialized Data, Data Wrangling | R Notes | 3rd Assignment |
| Feb 9 | Gendering Data, Data Wrangling and Visualization | R Notes | Assignment IV |
| Feb 16 | Relations in/to Data, Data Visualization | R Notes | Assignment E |
| Feb 23 | Data and Harm, Data Visualization | Final Pre-Break Assignment | |
| Mar 2 | Stepping Stones Wrap Up | Post-Break Assignment | |
| Mar 16 | Data Processes, Data Wrangling | ||
| Mar 23 | Data Practices, Data Tables | R Notes | Project Exploration, 3 Resources |
| Mar 30 | Countermapping, Spatial Data | Project progress, Resource review | |
| Apr 6 | Project Peer Review, R Markdown | R Markdown for peer review | |
| Apr 13 | Project Progress, Data Communication | Project progress, 3 resources | |
| Apr 20 | Project Progress, Data Visualization | Project progress, Resource review | |
| Apr 27 | Project Presentations | R Markdown for presentation |
January 19 - Introductions
Introductions to class, to each other, to data feminism, to projects, and to R (phew!). Bring a laptop with R and RStudio installed! Instructions for installing R, RStudio, and all the tidyverse packages.
Key Reading
- Catherine D’Ignazio and Laura Klein. 2019. Data Feminism (open draft version). MIT Press. Introduction
- Washington, A. L., & Kuo, R. 2020. “Whose Side are Ethics Codes On? Power, Responsibility and the Social Good.” In FAT 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 230-240.Association for Computing Machinery, Inc.
Data Practice
January 26 - Data as Power, Data Wrangling
Considering the power, purpose, provenance and processing of data.
Key Reading
- Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 1, Chapter 2
- Nick Barrowman. Summer/Fall 2018. “Why Data Is Never Raw.” The New Atlantis: 56, pp. 129-135.
Data Practice
February 2 - Racialized Data, Data Wrangling
Key Reading
- Tukufu Zuberi. 2003. Thicker than Blood. University of Minnesota Press. Introduction-Racial Statistics, Chapter 6-Challenging Race as a Variable.
- Tukufu Zuberi and Eduardo Bonilla-Silva. 2008. White Logic, White Methods: Racism and Methodology. Rowman & Littlefield. Chapter 7: Deracializing Social Statistics.
Data Practice
February 9 - Gendering Data, Data Wrangling and Visualization
Key Reading
- Kevin Guyan. 2022. Queer Data: Using Gender, Sex and Sexuality Data for Action. Introduction- Data and Difference, Chapter 5-Straightwashing: The cleaning and analysis of queer data.
- Harper B. Keenan. 2022. “Methodology as Pedagogy: Trans Lives, Social Science, and the Possibilities of Education Research.” Educational Researcher 51: 307–314.
Data Practice
February 16 - Relations in / to Data, Data Visualization
Key Reading
- Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 3
- Abeba Birhane. 2021. “Algorithmic Injustice: A Relational Ethics Approach.” Patterns 2(2).
Data Pracice
- Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 27
- Rafael A. Irizarry. 2021. Introduction to Data Science. Chapter 10
February 23 - Data and Harm, Data Visualization
Key Reading
- Jonathan Schwabish, Alice Feng. 2021. “Do No Harm Guide: Applying Equity Awareness in Data Visualization.” Urban Institute.
- Inioluwa Deborah Raji. 2020. “The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data.” Patterns 1(4).
- Jamelle Bouie. 2022. “We Still Can’t See American Slavery for What It Was.” New York Times
Data Practice
- Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 28
- Rafael A. Irizarry. 2021. Introduction to Data Science. Chapter 11
March 2 - Stepping Stones Wrap Up
March 9 - Spring Break!
March 16 - Data Processes, Data Wrangling
Key Reading
- Claire E. Crawford, Sean Demack, David Gillborn, and Paul Warmington. 2019. “Quants & Crits: Using Numbers for Social Justice (Or, How Not to be Lied to With Statistics).” In Understanding Critical Race Research Methods and Methodologies, Jessica T. DeCuir-Gunby, Thandeka K. Chapman, Paul A. Schutz (eds). Routledge.
- Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 5
Data Practice
- Rafael A. Irizarry. 2021. Introduction to Data Science. Chapter 21, Chapter 22
- Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 12, Chapter 13
March 23 - Data Practices, Data Tables
Key Reading
- Roderic Crooks and Morgan E. Currie. 2021. “Numbers Will Not Save Us: Agonistic Data Practices.” The Information Society 37.
- Lily Hu. 2020. “Direct Effects: How Should We Measure Racial Discrimination.” Phenomenal World Post.
Data Practice
- David Keyes. 2019. “How to Make Beautiful Tables in R.” R for the Rest of Us.
- Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 14, Chapter 16
March 30 - Countermapping, Spatial Data
Key Reading
- Britta Ricker, Menno-Jan Kraak and Yuri Engelhardt. 2020. “The Power of Visualization Choices: Different Images of Patterns in Space.” In M. Engebretsen & H. Kennedy (Eds.), Data Visualization in Society. Amsterdam University Press.
- Manissa M. Maharawal and Erin McElroy. 2017. “The Anti-Eviction Mapping Project: Counter Mapping and Oral History toward Bay Area Housing Justice.” Annals of the American Association of Geographers.
Data Practice
- Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 7
- Mel Moreno and Mathieu Basille. 2018. “Drawing Beautiful Maps Programmatically with R, sf and ggplot2 - Part 1: Basics, Part 2: Layers, and Part 3: Layouts.” r-spatial.
April 6 - Project Peer Review, R Markdown
Data Practice
- Ben Wellington, “Making data mean more through storytelling”
- Yihui Xie, J. J. Allaire, Garrett Grolemund. 2022. R Markdown: The Definitive Guide. Chapter 3.1 - HTML Documents
April 13 - Project Progress, Data Communication
Key Reading
- Rebecca C. Hetey and Jennifer L. Eberhardt. 2018. “The Numbers Don’t Speak for Themselves: Racial Disparities and the Persistence of Inequality in the Criminal Justice System.” Current Directions in Psychological Science 27: 183–187.
- Allison L. Skinner-Dorkenoo, Apoorva Sarmal, Kasheena G. Rogbeer, Chloe J. Andr ́e, Bhumi Patea, Leah Cha. 2022. “Highlighting COVID-19 Racial Disparities Can Reduce Support for Safety Precautions among White U.S. Residents.” Social Science & Medicine 301: 1-8.
Data Practice
- Thomas Lin Pedersen. patchwork package vignette
- Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 4, Chapter 19
April 20 - Project Progress, Data Visualization
Data Practice
- Carson Sievert. 2019. Interactive Web-Based Data Visualization with R, plotly, and shiny. CRC Press. Chapter 2, Chapter 33
April 27 - Project Presentations
May 4 - Final Projects Submitted
