Within the epidemology community, we're struggling with having anybody care about what we do a here. We want to help people realize that risks are on their way, but we also don't want to lose credibility by being the boy that cried wolf. The one thing that we've talked about a lot and in epidemiology is how you communicate about risk and uncertainty. It's amazing pelehave goten so frustrated with the bad actors. And then em o, ye. Ok. I think we have to rup up soon.
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Photo Credit: Kris Tsujikawa
We hope everyone is doing well! We finally decided to record an episode on visualization and covid19. It’s been a crazy several weeks and one of the most interesting developments has been to see how prominent visualization has been in the constant flux of information. Who expected visualization to be so relevant, uh?!
And when we talk about data and pandemics we could not find a better person than Carl Bergstrom, Professor of Biology at University of Washington, with a background in epidemiology but also an expert in scientific practices and communication.
You may remember Carl from an episode about three years ago (Episode 97). We interviewed him together with his colleague Jevin West to talk about their excellent “Calling Bullshit” project (and let’s face it, there is no lack of BS during these crazy times), a course (and soon to be a book) on how to spot BS in science.
Carl has been a constant source of information and reasoning on Twitter. Commenting on the science behind pandemics but also about the way science is communicated and the many possible traps you may fall into. If there is one thing we all learned is that visualization without reliable data is a mess!
In the show, we talk about a number of iconic covid19 visualizations, the “flatten the curve” ones, the tracking lines from Financial Times and several simulations. For each of these we discuss the many variations and nuances, what we have learned from them and the many intricacies of creating visualizations for such a sensitive topic with potential huge outcomes.
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