A popular workshop this year introduces a wide variety of learners to data literacy and visualization. Speaking at the Women in Tech Summit I shared how I came across the title for this year's talk--data talks, meople pumble. I wasn't sure how a talk embedded in a Tableau Story viz would be received by several hundred techy women but come to find out--it was standing room only.
We might not be aware but everyone is a data person. You either create, curate, or consume data. I think it is imperative that we become literate and aware.
The last few public experiences I have had were with women audiences. A powerful discussion with Angela Saini, about her latest book Superior the return of race science was sponsored by 500 Women Scientists NYC, the recent Women in Tech Summit, and next year's Fifth Annual Women’s Economic Development Network Leadership Forum VISION 2025: Tools for the Future.
The energy in these gatherings is tremendous. I think this might be my preferred method of communicating about data although I have an active archive of print articles (and these blog posts) that I access on a regular basis. There is something intoxicating about having conversations about data--that people don't want to be having.
I am talking to you personalized medicine.
It isn't just about the cells--its about the society.
Look. I am excited about new discoveries in medicine. But I can still acknowledge the small molecular discoveries--at least the major ones are likely behind us.
I bristle when I hear the term "innovation" attributed to pharmacology and solutions for complex diseases. True innovation would be paying attention to the upstream causes of the rise of disease chronicity and inevitability.
Point research dollars toward understanding how our environments influence disease instead of beating investors into a venture fund froth at the idea of expanding markets. Those markets and data points are actually people.
Browse the archive...
Thank you for making a donution!
In a world of "evidence-based" medicine I am a bigger fan of practice-based evidence.
Remember the quote by Upton Sinclair...
“It is difficult to get a man to understand something, when his salary depends upon his not understanding it!”
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