Rdviz-culture

Outputs

Description of a minimum viable product, aspirational output, stretch goals, etc. Collaborative website: The Inclusive Data Visualization Project

Tabs

• What is inclusive data visualization?
  • Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field

• Exclusion by Access
  • Problem: Data visualization can exclude due to issues of access, including
    • bandwidth and connectivity
    • language/layout of tools and resources
    • discriminatory hiring practices

• Exclusion by Misrepresentation
  • Problem: Data visualization can exclude by misrepresenting people, along the dimensions of
    • gender
    • ethnicity
    • location

• Exclusions by Extraction
  • Problem: Data visualization can exclude by taking and not giving back
    • form is not legible to the community

• Each page has space for case studies, tools, resources, and other links

Notes

Culture (producers and consumers)

Possible Outputs

• Cultural checklist or guide
• Mentorship program (physical/virtual meetup space)
• Human-centered design for dataviz
• Manifesto
  • Active discussion tool/platform (wiki?)
  • Open source tools
  • “The Manifesto of the Missing People”
• kids, African, Asian, etc.
• here is the list of people who are not here
• how do we start to include them?
• Resources of/for people who have agreed to abide by it
• “I’ve agreed to commit to this as part of my practice”
• Tap into featured people who are already in the conversation
  • The Inclusive Data Visualization Project
• Tell by showing—case studies; blog posts
• Tools
• Link dump/Resource page
• Checklist
• Access—low bandwidth, no English
• Not seeing themselves in the data—gender, race
• Seeing themselves in the eyes of others
• “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project
• Who is this for?
• Practitioners
• What do we want them to do?
• This is what we know; what do you know?

• Mission statement
• Series of blog posts
• Research agenda (wiki?)
• Early ed. Curriculum
  • Baseline data/graph literacy
  • Exercises targeted to different cultures
  • Treat data visualization as a core standard
• Post-secondary education
  • Interdisciplinary?
• Different dataviz mediums and how they are used and understood by different groups
  • most efficient engagement tools for different groups

Audience

Personas, use cases, context