Spring 2025 | Yale University
Today, visualization is seen as a crucial tool for understanding, navigating, and acting upon the vast amounts of data produced in contemporary society. Everything from government statistics and environmental monitoring to cell-phone tracking and online shopping are made comprehensible by becoming visual. But most data designers—and most data consumers— engage little if at all with the broader assumptions, meaning, and politics of these graphics, and the history of visualization is usually reduced to a simplistic story of cumulative progress. This seminar will instead approach visualization from a critical historical perspective. We will ask how visualization encourages certain kinds of visibility but not others, how various theories of visual communication support or undermine different forms of politics, how visualization is—or should be—embedded in specific cultures, and how the identity or the methods of the person doing the visualizing can—or should—matter.
The course is structured as a hybrid between a readings-based discussion seminar and a hands on workshop. We will engage with scholarship about data, graphics, and visual argument since the eighteenth century, but I will also give in-class demonstrations of software and graphic design techniques and we will use class time to present and discuss student work in a studio-like atmosphere. The reading load is less than in other humanities seminars so that students can spend significant time outside of class becoming proficient in their choice of software.
General
Readings
January 14: Course Introduction
PART I: WHAT IS CRITICAL DATA VISUALIZATION?
January 21: Clarity, Insight, Truth, and Beauty (or, Conventional Visualization!)
Edward Tufte, The Visual Display of Quantitative Information (Cheshire: Graphics Press, 1983).
Edward Tufte “The Fundamental Principles of Analytical Design,” in Beautiful Evidence (Cheshire: Graphics Press, 2006), 122–139.
Axis Maps, “Visual Variables,”
Jacques Bertin, Semiology of Graphics (Redlands, ESRI Press, 2010 [orig. 1967]), 100–137.
January 28: What is Critical?
Paulo Freire, Pedagogy of the Oppressed (New York: Bloomsbury, 1970 [orig. 1968]), foreword, preface, and chapter 3.
Robert H. Ennis, “Critical Thinking: A Streamlined Conception,” in Martin Davies and Ronald Barnett, eds., The Palgrave Handbook of Critical Thinking in Higher Education (New York: Palgrave MacMillan, 2015), 31–47.
Chad Orzel, “Critical Thinking Isn’t a Thing,” Counting Atoms, 5 July 2021
Kim Fortun et al., “Pushback: Critical Data Designers and Pollution Politics,” Big Data & Society (July–December 2016): 1–14.
February 4: Presentation and Discussion of First Visualization Exercise
February 11: What is Data?
Johanna Drucker, “Humanities Approaches to Graphical Display,” DHQ: Digital Humanities Quarterly 5 (2011).
Daniel Rosenberg, “Data Before the Fact,” in Lisa Gitelman, ed., “Raw Data” Is an Oxymoron (Cambridge: MIT Press, 2013), 15–40.
Bruno J. Strasser and Paul N. Edwards, “Big Data Is the Answer … But What Is the Question?” Osiris 32: Data Histories (2017), 328–345.
Nathan Yau, “Visualizing the Uncertainty in Data,” Flowingdata, Jan 2018
February 18: Feminist Data Visualization
Catherine D’Ignazio and Lauren F. Klein, Data Feminism (Cambridge: MIT Press, 2020), introduction, chapters 3 and 4.
Mei-Po Kwan, “Feminist Visualization: Re-Envisioning GIS as a Method in Feminist Geographic Research,” Annals of the Association of American Geographers 92 (2002): 645–661
Donna Haraway, “Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective,” Feminist Studies 14 (Autumn 1988): 575–599.
Jessica Hullman and Matthew Kay, “Uncertainty + Visualization, Explained,” June 2019, Part 1
Jessica Hullman and Matthew Kay, “Uncertainty + Visualization, Explained (Part 2: Continuous Encodings)” June 2019, Part 2
February 25: Radical Cartography
Bill Rankin, Radical Cartography: Visual Argument in the Age of Data (New York: Viking, [2024]). Introduction, chapters 1, 2, 3, 7, conclusion.
Severin Halder and Boris Michel, introduction to This Is Not an Atlas (Bielefeld: Transcript, 2018), pp. 12–21. Browse the rest of the (non-)atlas as you like.
Cary Anderson, “The Visualization of Uncertainty,” 2022
March 4: Presentation and Discussion of Second Visualization Exercise
PART II: SOME EPISODES IN THE POLITICS OF VISUALIZATION
March 25: What is the History of Infographics a History Of?
GRAPHICS: Sandra Rendgen, ed., History of Information Graphics (Köln: Taschen, 2019).
TEXTS: Murray Dick, The Infographic: A History of Data Graphics in News and Communications (Cambridge: MIT Press, 2020), introduction and chapter 3, plus chapter 4 intro and conclusion (pp. 97–98, 134–137) along with the images in chapter 4.
Michael Friendly, “The Golden Age of Statistical Graphics,” Statistical Science 23 (2008): 502–535.
April 1: Visualizing the Color Line
GRAPHICS: Whitney Battle-Baptiste and Britt Rusert, eds., W. E. B. Du Bois’s Data Portraits: Visualizing Black America (Princeton Architectural Press, 2018).
Julian Rothenstein, ed., Black Lives 1900: W. E. B. Du Bois at the Paris Exposition (London: Redstone, 2019).
TEXTS: W. E. B. Du Bois, “The Talented Tenth,” in The Negro Problem (New York: James Pott & Co., 1903), 33–75.
Kevin Gaines, Uplifting the Race: Black Leadership, Politics, and Culture in the Twentieth Century (Chapel Hill: UNC Press, 1996), introduction and chapter 6.
April 15: Data Doubles and Quantified Selves
GRAPHICS: Giorgia Lupi and Stefanie Posavec, Dear Data: A Friendship in 52 Weeks of Postcards (New York: Princeton Architectural Press, 2016).
TEXTS: Dan Bouk, “The History and Political Economy of Personal Data Over the Last Two Centuries in Three Acts,” Osiris 32: Data Histories (2017), 85–106.
Kevin D. Haggerty and Richard V. Ericson, “The Surveillant Assemblage,” British Journal of Sociology 51 (Dec 2000): 605–622.
N. Katherine Hayles, “Narrative and Database: Natural Symbionts,” PMLA 122 (Oct 2007): 1603–1608.
Tamar Sharon and Dorien Zandbergen, “From Data Fetishism to Quantifying Selves: Self-tracking Practices and the Other Values of Data,” New Media & Society 19 (2017): 1695–1709.
April 22: The Road Ahead
GRAPHICS: Browse the projects at https://pudding.cool and read at least eight.
TEXT: Jer Thorp, Living in Data: A Citizen’s Guide to a Better Information Future (New York: MCD, 2021), chapters 1, 2, 3, interlude, 8, 9, 14, epilogue, and graphics throughout.