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graduate student // interaction design Carnegie Mellon University. Im interested in interrogating the politics and poetics of technology and data visualization, particularly as a praxis for social justice. Data visualization as a


  1. graduate student // interaction design Carnegie Mellon University. I’m interested in interrogating the politics and poetics of technology and data visualization, particularly as a praxis for social justice.

  2. Data visualization as a prosthetic for collective memory graduate student // interaction design Carnegie Mellon University. in geographically I’m interested in interrogating the bounded communities politics and poetics of technology and data visualization, particularly as a praxis for social justice.

  3. We feel... imposter syndrome like our work is never good enough overworked alone

  4. “Developing a practice that equips us to create the better We feel... future through re- imposter syndrome creating ourselves is like our work is never good enough key” to cultivating the overworked emergence of a alone ‘life-affjrming world’” Hannah Du Plessis Carnegie Mellon professor, Fit Associates

  5. I hear you We can be resilient

  6. I hear you Collective memory We can also be We can be resilient resilient

  7. I hear you Collective memory We can also be We can be resilient resilient a cyclical pattern of observing and overcoming together

  8. Collective memory as data 1. Prosthetic for reflection. data viz tools could make reflection easier, like building blocks. 2. Communication. They allow us to see ourselves in the holarchy of community

  9. How might I craft data visualization tools that serve as prosthetics for Collective memory life-affjrming collective as data refmection and memory 1. Prosthetic for reflection. data viz making? tools could make reflection easier, like building blocks. 2. Communication. They allow us to see ourselves in the holarchy of community

  10. How can we challenge Mimi Onuoha & Jenny O’Dell // data?? Catherine D’Ignazio // feminist data viz the epistemologies adrienne maree brown // emergent strategy underpinning mainstream Peter Block // community data visualization, Hannah Du Plessis // mindset and posture Stephen Neely // eurythmics embracing the fuzzy and vital fmows of information in alternative epistemologies (feminist, etc.) of emotion, embodiment, intuition?

  11. How can we challenge Mimi Onuoha & Jenny O’Dell // data?? Catherine D’Ignazio // feminist data viz the epistemologies adrienne maree brown // emergent strategy underpinning mainstream Peter Block // community data visualization, Hannah Du Plessis // mindset and posture Stephen Neely // eurythmics embracing the fuzzy and vital fmows of Challenging the ways we are “seen” through data information in alternative Forms of visuals and data that allow for emergence, or a whole that communicates epistemologies (feminist, beyond the sum of the data that constitute it etc.) of emotion, A need to situate tools crafted in time embodiment, intuition? and place

  12. How might I craft data visualization tools that serve as prosthetics for life-affjrming collective refmection and memory making? Phone as input Store data Display data Screen as display

  13. Context: Small group Sitting in chairs arranged in a circle. 2. Phone as input 3. Projector screen displaying all data 1. Improv (reconnecting with the body) ---> 2. Reflect on question ---> 3. Share + discuss

  14. Developing a paradigm for encoding data in each conversation The feeling -> text, figure, tension The story -> text The future -> text (categories)

  15. ...the test

  16. the response Nice to see responses externalized. “Now that I see it, I want to have a conversation about it.” “There is a conversation People liked interpreting what the figures meant only the people in this People were talking very personally; about the prompt but surprisingly also room can have. Find it. ” much more than that. It was hard for the visualization to capture the nature of the conversation, adrienne maree brown, Emergent Strategy but that’s okay. People realized they all felt the same; wanted the same things in the space It was nice to have the patterns and visualizations to keep a hold of what people really thought.

  17. Next steps Pass down the memories from this year’s cohort to the new folks coming in, Incorporate circular leadership, and Focus on data visualization paradigms that are more generative, conveying emergence Talk to archivists / community organizers / etc.

  18. Twitter // @cathrynploehn Thanks! Medium // @cploehn Email // @ploehn.cathryn cathrynploehn.com slides: cathrynploehn.com/eyeo-slides

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