Michael Hoffman PhD speaks about collapsing messy biological data sets into visual representation. He describes an innovative way to display the distortion so humans don’t over-interpret.
As a recent informatics retiree, I’m interested in our Department of Biomedixal Informatics and what our colleagues are doing.
Firstly, I’m grateful to my physician informatics team to be here. We all have secondary appointments in DBMI. Here are Nancy Fang and Steve Rotholz, Large PIG colleagues.
Reducing dimensions is important when you’re working in 29 dimensions (oh my brain hurts already).
Nice map examples of distortion.
Tissot’s Indicatrix is a lovely illustration that I needed today. Now my mind can start to grasp the problem. It is graphics and metaphors like this that help decomplexify hard ideas. Let’s all reach for analogies like this to explain our big ideas in informatics. THIS is why I’m here today.
More metaphors. Use markings on the image to remind our brains not to over interpret. The grid lines here are a hint.
This is it.
My take?
Attend lectures! Let your brain be stretched. I didn’t comprehend many of the higher dimension arguments but I get the compression and visualization of data and even more interesting, attacking the bias and over interpretation of visuals. Explaining complex ideas well is one of the cores of what we do.
Get out there and stretch your brain and grow your skills. Steal great analogies and ideas. Good artists borrow, great artists steal. Let’s be artists!
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