November 25, 2016

Day

photo of penguin navel-gazing
To be inspired, your audience needs to see how findings are reliable and relevant. Part 1 talked about creating practical checklists to ensure data-driven research is reproducible. This post describes how to deliver results that resonate with your audience. It’s nice when people review analytical findings, think “Hmmm, interesting,” and add the link to bitly....
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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