Difference between revisions of "Rdviz-culture"
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== Notes == | == 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 == | == Audience == | ||
Revision as of 21:56, 15 January 2016
Outputs
Description of a minimum viable product, aspirational output, stretch goals, etc.
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
