Graphical design: Elevating emotion in data viz

Lecture 15

Dr. Benjamin Soltoff

Cornell University
INFO 3312/5312 - Spring 2025

March 18, 2025

Announcements

Announcements

  • Project 02 preference survey
  • Drop deadline today

Data feminism

Data feminism

Critique of traditional power structures in data science

  • Examining power – data is never neutral
  • Challenging power – question and challenge dominant hierarchies and biases embedded in data practices
  • Elevating emotion and embodiment – value emotion and lived experience as legitimate sources of knowledge
  • Rethinking binaries and hierarchies – seek more fluid and inclusive representations
  • Embracing pluralism – promote diverse perspectives to create more inclusive and ethical data practices.
  • Considering context – data must be interpreted within its social, historical, and political context to avoid misleading conclusions
  • Making change – data should be used to advance social justice and work toward more equitable outcomes

Elevating emotion and embodiment

  • Data science and statistics as neutral or logical approaches
  • Historically dismisses emotion, intuition, and lived experiences as subjective
  • Critiquing the myth of objectivity in data science
  • Frame your work in your positionalities and lived experiences

Data visceralization

Data visceralization

Representations of data that the whole body can experience, emotionally as well as physically.

  • Data can and should be used to elevate emotion and embodiment
  • Helps connect the reader to the data on a deeper level
  • Potentially provides a more impactful and longer lasting memory

In America: Remember

In America: Remember

We are recapturing the human dignity of each one of these people who have been compressed and … reduced to numbers.

– Suzanne Brennan Firstenberg

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Application exercise

ae-14

Instructions

  • Go to the course GitHub org and find your ae-14 (repo name will be suffixed with your GitHub name).
  • Clone the repo in RStudio, run renv::restore() to install the required packages, open the Quarto document in the repo, and follow along and complete the exercises.
  • Render, commit, and push your edits by the AE deadline – end of the day

Wrap up

Recap

  • Emotion can (and perhaps should) be used in data visualization
  • Data visceralization can help connect the reader to the data on a deeper level
  • Frame your work in your positionalities and lived experiences