As a fellow scientist (actual) when this sort of thing happens I typically head to the lab to generate some more data. Other scientists might head out to the field to collect more data. Then we would return to our offices and do the same thing data ‘scientists’ do. This is how we attempt to either build evidence to support (or not) our hypothesis. This is called the scientific method. Occasionally as scientists we do “solve problems” but that is not our primary objective. Supporting (or not) our hypothesis is our primary objective and we do this through experimentation/observation and data analysis (or data science as it is now called apparently). Thus we have become double scientists. Scientists doing science and then using science to analyze our science. It’s raining science, hallelujah?

This is to take nothing away from it’s importance or value but data science is not science. To put it another way, there is no such thing as calculator mathematics. Can’t you just change the name? How about advanced data analytics? That sounds pretty neat, right? Or what about deep (advanced) data analytics? You guys love that word for reasons I still don’t understand as it is pseudo-term that can mean basically whatever anyone wants it to mean. It sounds super cool though for sure. Super cool and very deep.

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Research scientist (Ph.D. micro/mol biology), Thought middle manager, Everyday junglist, Selecta (Ret.), Boulderer, Cat lover, Fish hater

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