I received a year-end treat from We All Count.
I am an excitable person, and was recently thrilled to be gifted five posters that are A) great examples B) of visual communication C) about data equity.
They arrived in my email inbox last week, accompanied by this statement: “As an exclusive treat this year for our newsletter community, we’re providing you with free high resolution versions for you to use any way you’d like.”
My ears don’t prick up, but like my dog, Loki, my jaw dropped a bit at the word treat.
I clicked on the link to view the shared files, one of which is snipped at the top of this post and displayed in full below. Immediately, I knew I’d like to share this content. This poster is a beautiful illustration of where my head has been, as I ponder how to counter the ways collecting survey data about social identity can be extractive and reductionist.
It really captures it.
Spot on.
We All Count is a project for equity in data science. Their website provides community and tools for those working towards a world where data science is good for everyone. I learned about We All Count by listening to the founder, Heather Krause, talk to NSVRC’s Sally J. Laskey on this podcast.
I hope you will head over to We All Count’s website to further explore the generosity and abundance of their Holiday 2021 Poster Drop. Until you do, here’s one more clever design.
We All Count’s example of sharing — and their emphasis on visual communication, data use, and equity — prompts me to share access to “useable” visual files for two commonly-circulated visual metaphors for equality vs. equity and one set of goals that needs our attention.
A) First, the drawing of the kids watching — or trying to watch — a game from behind a fence. In the original iteration, circa 2012 and shown below, the concept was better than the art. Here’s a link to a blog post by the content creator who chronicled a partial evolution of this image-turned-Internet-meme.
B) Second is a more produced image of four people and bikes. Here’s a link to a downloadable version of the Robert W. Johnson Foundation’s (2016) graphic on equality v. equity, shown below. Both of these images call highlight the importance of creating solutions that account for diversity in human needs. In other versions of this conversation, I have heard the distinction that I find useful: while equality is a perhaps desirable status, equity is always a process.
C) And finally, a call to remain curious as to whether in some situations, within some still-to-come historical context, and/or on some scale, equality can be the most appropriate metric or goal.
For example, Google supported in a project that leveraged technology to increase representation of women in media. Computers “learned” a binary operationalization of gender, and then used machine learning to “watch” movies and record data assessing men and women in films. Since 2017, when Google shared the project with the term gender equality attached, the analyses have gotten more complex. You can learn more about these findings and current goals towards “gender balance” from the Geena Davis Institute on Gender and Media.
Here is a link to visuals to communicate about the Sustainable Development Goals, which include — as goal #5 — Gender Equality.
I love the SDGs because they are positive, parsimonious, and pluralistic. Working at a global scale, the United Nations encourages all of us to design projects, at every level, across 17 areas to preserve our one home planet, Earth, through development that is designed for sustainability.
If it works for the many countries that make up our global community, I can live with the words gender equality jumping out at number five.