Schedule at a glance

Date	Reading	Reading Annotations	What's Due?
Jan 19	Introductions
Jan 26	Data as Power, Data Wrangling	Annotation Opportunity 1	Assignment 1
Feb 2	Data Activism, Data Wrangling	Annotation Opportunity 2	Assignment 2
Feb 9	Data Perspectives, Data Visualization	Annotation Opportunity 3	Assignment 3
Feb 16	Data Categorization, Data Viz & Wrangling	Annotation Opportunity 4	Assignment 4
Feb 23	Data Roles, Data Practice	Annotation Opportunity 5
Mar 2	Data Context, Data Communication	Annotation Opportunity 6	Team Update 1
Mar 16	Race and Counterfactuals, Data Analysis	Annotation Opportunity 7	Identify References
Mar 23	Data as Relational	Annotation Opportunity 8	Team Update 2
Mar 30	Countermapping and Critical Quantitative Approaches	Annotation Opportunity 9	Review References
Apr 6			Midterm Exam, due 4/11
Apr 13	Project/Data Practice		Team Update 3
Apr 20	Project/Data Practice		Team Update 4
Apr 27	Project/Data Practice		Presentations
May 4			Final Project

Part 1: Learning R, Data Ethics and Power

In this stage of the class, we’ll spend about 50% of our time (in and out of class) focused on learning R and the administrative data we’re working with, about 40% of our time diving into data ethics and power, and about 10% of our time thinking about the final projects.

January 19 - Introductions

Introductions to class, to each other, to data feminism, to court data, and to R – bring a laptop with R and RStudio installed!

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism (open draft version). MIT Press. Introduction
Cifor, M., Garcia, P., Cowan, T.L., Rault, J., Sutherland, T., Chan, A., Rode, J., Hoffmann, A.L., Salehi, N., Nakamura, L. (2019). Feminist Data Manifest-No
Dave Ress. 2016. “Blacks more likely to get prison time in plea deals, Hampton Roads court data show.” Daily Press.
Ben Schoenfeld. 2017. “Are speed limits not enforced in this area?”

Data practice

James Scott. 2021. Data Science in R: A Gentle Introduction. Chapter 1, Chapter 2
Additional Reference: Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 4

January 26 - Data as Power, Data Wrangling

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 1
Nick Barrowman. Summer/Fall 2018. “Why Data Is Never Raw.” The New Atlantis: 56, pp. 129-135.
Emma Pierson, Camelia Simoiu, Jan Overgoor, Sam Corbett-Davies1, Daniel Jenson, Amy Shoemaker, Vignesh Ramachandran, Phoebe Barghouty, Cheryl Phillips, Ravi Shroff and Sharad Goel. 2020. “A large-scale analysis of racial disparities in police stops across the United States.” Nature Human Behaviour 4: 736-745.

Data practice

Rafael A. Irizarry. 2021. Introduction to Data Science. Chapter 2, Chapter 3
Additional Reference: Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 5

February 2 - Data Activism, Data Wrangling

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 2
Tukufu Zuberi. 2003. Thicker than Blood. University of Minnesota Press. Introduction: Racial Statistics, Chapter 3: Eugenics and the Birth of Racial Statistics.
Phil Hernandez, Laura Goren and Chris Wodicka. 2021. “Set Up to Fail: How Court Fines & Fees Punish Poverty and Harm Black Communities in Virginia.” The Commonwealth Institute.

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 27
Additional Reference: Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 12, Chapter 13

February 9 - Data Perspectives, Data Visualization

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 3
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.
Kareem L. Jordan and Tina L. Freiburger. 2015. “The Effect of Race/Ethnicity on Sentencing: Examining Sentence Type, Jail Length, and Prison Length.” Journal of Ethnicity in Criminal Justice 13(3): 179-96

Data practice

James Scott. 2021. Data Science in R: A Gentle Introduction. Chapter 4
Rafael A. Irizarry. 2021. Introduction to Data Science. Chapter 7
Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 7
Additional Reference: Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 3

February 16 - Data Categorization, Data Viz and Wrangling

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 4
Kevin Guyan. 2021. “For Queer Communities, Being Counted Has Downsides.” Wired.
Sandra G. Mayson and Megan T. Stevenson. 2020. “Misdemeanors by the Numbers.” Boston College Law Review 61(3).

Data practice

Take some time to review past reference work

Part 2: Data Ethics and Power, Starting Projects

In this stage of the class, we’ll spend about 40% of our time diving into data ethics and power, about 40% of our time defining and starting team projects, and about 20% of our time focused on developing skills in R.

February 23 - Data Roles, Data Practice

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 5
Roderic Crooks and Morgan E. Currie. 2021. “Numbers Will Not Save Us: Agonistic Data Practices.” The Information Society 37.
Allison Stashko and Haritz Garro. 2021. “Prosecutor Elections and Police Accountability.” Working Paper.

Data practice

Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 16

March 2 - Data Context, Data Communication

Data ethics and feminism, data in the judicial domain

Catherine D’Ignazio and Laura Klein. 2019. Data Feminism. MIT Press. Chapter 6
Inioluwa Deborah Raji. 2020. “The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data.” Patterns 1(4).
Allison P. Harris, Elliott Ash and Jeffrey Fagan. 2020. “Fiscal Pressures and Discriminatory Policing: Evidence from Traffic Stops in Missouri.” Journal of Race, Ethnicity, and Politics 5: 40-80.

Data practice

Claus O. Wilke. 2019. Fundamentals of Data Visualization. O’Reilly. Chapter 4, Chapter 19
Additional reference: Emil Hvitfeldt’s GitHub of R Color Palettes

Spring Break: March 9

Spring Break!

March 16 - Race and Counterfactuals, Data Analysis

Data ethics and feminism, data in the judicial domain

Tukufu Zuberi and Eduardo Bonilla-Silva. 2008. White Logic, White Methods: Racism and Methodology. Rowman & Littlefield. Chapter 7.
Lily Hu. 2020. “Direct Effects: How Should We Measure Racial Discrimination.” Phenomenal World Post.
Michelle Alexander. 2020. The New Jim Crow: Mass Incarceration in the Age of Colorblindness. The New Press. Preface to the Tenth Anniversary Edition. (The full book is available as an e-book through the UVA Library.)

Data practice

Paul Roback and Julie Legler. 2021. Beyond Multiple Linear Regression. Routledge. Chapter 1, Chapter 6
Additional Reference: Bradley Boehmke & Brandon Greenwell. 2021. Hands-On Machine Learning with R. Routledge. Chaper 4, Chapter 5

March 23 - Data as Relational

Data ethics and feminism, data in the judicial domain

Abeba Birhane. 2021. “Algorithmic Injustice: A Relational Ethics Approach.” Patterns 2(2).
Jonathan Schwabish and Alice Feng. 2021. Do No Harm Guide: Applying Equity Awareness in Data Visualization. Urban Institute.
Gwen Prowse, Vesla M. Weaver, Tracey L. Meares. 2020. “The State from Below: Distorted Responsiveness in Policed Communities.” Urban Affairs Review 56(5): 1423-1471.

Data practice

Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 6
Lüdecke D. 2018. ggeffects package reference

March 30 - Countermapping and Critical Quantitative Approaches

Data ethics and feminism, data in the judicial domain

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.
Derek H. Alderman and Joshua F.J. Inwood. 2021. “How Black Cartographers Put Racism on the Map of America.” The Conversation.

Data practice

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.
Additional reference: Kieran Healy. 2018. Data Visualization: A Practical Introduction. Princeton University Press. Chapter 7

April 6 - Exam

No class; take-home midterm exam due be 5 pm Monday, April 11

Part 3: Project Focus

In this last stage of the class, we’ll spend about 80% of our time working on team projects, and about 20% of our time learning a few more tricks in R.

April 13 - Project Work

Data practice

David Keyes. 2019. “How to Make Beautiful Tables in R.” R for the Rest of Us.
Thomas Lin Pedersen. patchwork package vignette

April 20 - Project Work

Data practice

Carson Sievert. 2019. Interactive Web-Based Data Visualization with R, plotly, and shiny. CRC Press. Chapter 2, Chapter 33

April 27 - Project Work

Data practice

Hadley Wickham and Garrett Grolemund. 2017. R for Data Science. O’Reilly. Chapter 28