https://wiki.responsibledata.io/api.php?action=feedcontributions&user=Jschwabish&feedformat=atomResponsible Data Wiki - User contributions [en]2024-03-28T19:56:44ZUser contributionsMediaWiki 1.23.4https://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T21:13:23Z<p>Jschwabish: /* Resources (we <3 links!) */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
Collaborative website: The Inclusive Data Visualization Project<br />
<br />
Tabs<br />
* What is inclusive data visualization?<br />
** Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field<br />
<br />
* Exclusion by Access<br />
** Problem: Data visualization can exclude due to issues of access, including<br />
*** bandwidth and connectivity<br />
*** language/layout of tools and resources<br />
*** discriminatory hiring practices<br />
<br />
* Exclusion by Misrepresentation<br />
** Problem: Data visualization can exclude by misrepresenting people, along the dimensions of<br />
*** gender<br />
*** ethnicity<br />
*** location<br />
<br />
* Exclusions by Extraction<br />
** Problem: Data visualization can exclude by taking and not giving back<br />
*** form is not legible to the community<br />
*** dataviz is not shared at all<br />
*** doesn't engage the community (about, but not for or by)<br />
<br />
<br />
<br />
* Each page has space for case studies, tools, resources, and other links<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
Catherine Dignazio<br />
catherine_dignazio@emerson.edu<br />
<br />
Kate Hotler<br />
@KateLovesUX<br />
<br />
Andrew McWilliams<br />
@jahyadotnet<br />
<br />
Jon Schwabish<br />
@jschwabish<br />
<br />
Gabi Sobliye<br />
@seeingsideways<br />
<br />
== Resources (we <3 links!) ==<br />
* http://civicmediaproject.org/works/civic-media-project/index<br />
* http://helpmeviz.com/<br />
* http://www.amazon.com/Whistling-Vivaldi-Stereotypes-Affect-Issues/dp/0393339726<br />
* https://civic.mit.edu/feminist-data-visualization</div>Jschwabishhttps://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T21:13:10Z<p>Jschwabish: /* Resources (we <3 links!) */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
Collaborative website: The Inclusive Data Visualization Project<br />
<br />
Tabs<br />
* What is inclusive data visualization?<br />
** Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field<br />
<br />
* Exclusion by Access<br />
** Problem: Data visualization can exclude due to issues of access, including<br />
*** bandwidth and connectivity<br />
*** language/layout of tools and resources<br />
*** discriminatory hiring practices<br />
<br />
* Exclusion by Misrepresentation<br />
** Problem: Data visualization can exclude by misrepresenting people, along the dimensions of<br />
*** gender<br />
*** ethnicity<br />
*** location<br />
<br />
* Exclusions by Extraction<br />
** Problem: Data visualization can exclude by taking and not giving back<br />
*** form is not legible to the community<br />
*** dataviz is not shared at all<br />
*** doesn't engage the community (about, but not for or by)<br />
<br />
<br />
<br />
* Each page has space for case studies, tools, resources, and other links<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
Catherine Dignazio<br />
catherine_dignazio@emerson.edu<br />
<br />
Kate Hotler<br />
@KateLovesUX<br />
<br />
Andrew McWilliams<br />
@jahyadotnet<br />
<br />
Jon Schwabish<br />
@jschwabish<br />
<br />
Gabi Sobliye<br />
@seeingsideways<br />
<br />
== Resources (we <3 links!) ==<br />
http://civicmediaproject.org/works/civic-media-project/index<br />
http://helpmeviz.com/<br />
http://www.amazon.com/Whistling-Vivaldi-Stereotypes-Affect-Issues/dp/0393339726<br />
https://civic.mit.edu/feminist-data-visualization</div>Jschwabishhttps://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T21:08:00Z<p>Jschwabish: /* Outputs */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
Collaborative website: The Inclusive Data Visualization Project<br />
<br />
Tabs<br />
* What is inclusive data visualization?<br />
** Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field<br />
<br />
* Exclusion by Access<br />
** Problem: Data visualization can exclude due to issues of access, including<br />
*** bandwidth and connectivity<br />
*** language/layout of tools and resources<br />
*** discriminatory hiring practices<br />
<br />
* Exclusion by Misrepresentation<br />
** Problem: Data visualization can exclude by misrepresenting people, along the dimensions of<br />
*** gender<br />
*** ethnicity<br />
*** location<br />
<br />
* Exclusions by Extraction<br />
** Problem: Data visualization can exclude by taking and not giving back<br />
*** form is not legible to the community<br />
*** dataviz is not shared at all<br />
*** doesn't engage the community (about, but not for or by)<br />
<br />
<br />
<br />
* Each page has space for case studies, tools, resources, and other links<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
Catherine Dignazio<br />
catherine_dignazio@emerson.edu<br />
<br />
Kate Hotler<br />
@KateLovesUX<br />
<br />
Andrew McWilliams<br />
@jahyadotnet<br />
<br />
Jon Schwabish<br />
@jschwabish<br />
<br />
Gabi Sobliye<br />
@seeingsideways<br />
<br />
== Resources (we <3 links!) ==</div>Jschwabishhttps://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T21:04:57Z<p>Jschwabish: /* Contributors */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
Collaborative website: The Inclusive Data Visualization Project<br />
<br />
Tabs<br />
* What is inclusive data visualization?<br />
** Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field<br />
<br />
* Exclusion by Access<br />
** Problem: Data visualization can exclude due to issues of access, including<br />
*** bandwidth and connectivity<br />
*** language/layout of tools and resources<br />
*** discriminatory hiring practices<br />
<br />
* Exclusion by Misrepresentation<br />
** Problem: Data visualization can exclude by misrepresenting people, along the dimensions of<br />
*** gender<br />
*** ethnicity<br />
*** location<br />
<br />
* Exclusions by Extraction<br />
** Problem: Data visualization can exclude by taking and not giving back<br />
*** form is not legible to the community<br />
<br />
<br />
* Each page has space for case studies, tools, resources, and other links<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
Catherine Dignazio<br />
catherine_dignazio@emerson.edu<br />
<br />
Kate Hotler<br />
@KateLovesUX<br />
<br />
Andrew McWilliams<br />
@jahyadotnet<br />
<br />
Jon Schwabish<br />
@jschwabish<br />
<br />
Gabi Sobliye<br />
@seeingsideways<br />
<br />
== Resources (we <3 links!) ==</div>Jschwabishhttps://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T21:01:10Z<p>Jschwabish: /* Outputs */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
Collaborative website: The Inclusive Data Visualization Project<br />
<br />
Tabs<br />
* What is inclusive data visualization?<br />
** Here we ask visitors to submit their comments about what they think of when it comes to having an inclusive data visualization field<br />
<br />
* Exclusion by Access<br />
** Problem: Data visualization can exclude due to issues of access, including<br />
*** bandwidth and connectivity<br />
*** language/layout of tools and resources<br />
*** discriminatory hiring practices<br />
<br />
* Exclusion by Misrepresentation<br />
** Problem: Data visualization can exclude by misrepresenting people, along the dimensions of<br />
*** gender<br />
*** ethnicity<br />
*** location<br />
<br />
* Exclusions by Extraction<br />
** Problem: Data visualization can exclude by taking and not giving back<br />
*** form is not legible to the community<br />
<br />
<br />
* Each page has space for case studies, tools, resources, and other links<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
== Resources (we <3 links!) ==</div>Jschwabishhttps://wiki.responsibledata.io/Rdviz-cultureRdviz-culture2016-01-15T20:56:26Z<p>Jschwabish: /* Notes */</p>
<hr />
<div><br />
== Outputs ==<br />
''Description of a minimum viable product, aspirational output, stretch goals, etc.''<br />
<br />
== Notes ==<br />
<br />
Culture (producers and consumers)<br />
<br />
Possible Outputs<br />
<br />
* Cultural checklist or guide<br />
* Mentorship program (physical/virtual meetup space)<br />
* Human-centered design for dataviz<br />
* Manifesto<br />
** Active discussion tool/platform (wiki?)<br />
** Open source tools<br />
** “The Manifesto of the Missing People”<br />
* kids, African, Asian, etc.<br />
* here is the list of people who are not here<br />
* how do we start to include them?<br />
* Resources of/for people who have agreed to abide by it<br />
* “I’ve agreed to commit to this as part of my practice”<br />
* Tap into featured people who are already in the conversation<br />
** The Inclusive Data Visualization Project<br />
* Tell by showing—case studies; blog posts<br />
* Tools<br />
* Link dump/Resource page<br />
* Checklist <br />
* Access—low bandwidth, no English<br />
* Not seeing themselves in the data—gender, race<br />
* Seeing themselves in the eyes of others<br />
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project<br />
* Who is this for? <br />
* Practitioners <br />
* What do we want them to do? <br />
* This is what we know; what do you know?<br />
<br />
* Mission statement<br />
* Series of blog posts<br />
* Research agenda (wiki?)<br />
* Early ed. Curriculum<br />
** Baseline data/graph literacy<br />
** Exercises targeted to different cultures<br />
** Treat data visualization as a core standard<br />
* Post-secondary education<br />
** Interdisciplinary?<br />
* Different dataviz mediums and how they are used and understood by different groups<br />
** most efficient engagement tools for different groups<br />
<br />
== Audience ==<br />
''Personas, use cases, context''<br />
<br />
== Next steps ==<br />
<br />
== Contributors ==<br />
<br />
== Resources (we <3 links!) ==</div>Jschwabish