Seminar and Workshop Framing

How do we create data visualizations in DH and for what purposes? How can we leverage the power of visualizations, while also considering the limitations and dangers of visualizations (especially around missingness and aggregation)?

Contextual Materials

  • D’Ignazio, Catherine, and Lauren F. Klein. “On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints.” and “What Gets Counted” In Data Feminism. The MIT Press, 2020. https://data-feminism.mitpress.mit.edu/.
  • Hinrichs, Uta, Stefania Forlini, and Bridget Moynihan. “In Defense of Sandcastles: Research Thinking through Visualization in Digital Humanities.” Digital Scholarship in the Humanities 34, no. Supplement_1 (December 1, 2019): 80–99. https://doi.org/10.1093/llc/fqy051.
  • “Introduction” in Guiliano, Laura Estill, Jennifer, ed. Digital Humanities Workshops: Lessons Learned. London: Routledge, 2023. https://doi.org/10.4324/9781003301097

Applied Materials

  • Skim Eichmann-Kalwara, Nickoal, Jeana Jorgensen, and Scott B. Weingart. “Representation at Digital Humanities Conferences (2000–2015).” In Bodies of Information, edited by Elizabeth Losh and Jacqueline Wernimont, 72–92. Intersectional Feminism and the Digital Humanities. University of Minnesota Press, 2018. https://doi.org/10.5749/j.ctv9hj9r9.9.

Workshop Assignments (to be completed prior to class)

  • Complete the Data Cleaning & Merging Assignment (one of which is optional)

Workshop Resources

Updated: