I am lucky that currently I am allowed to mix the two. Also we like to be referred to as data flight attendants.
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hmmmmmmm
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Lol yeah yesterday literally implemented logic from a novel research paper but I get it some ppl are just doing pipeline/janitorial work.
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This is painfully true. Academia is absurdly far behind industry in terms of research quality in just about any area that makes contact with the market. Optimizing for profit/growth vs optimizing for papers/impact factor/citations are very different games.
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I work in pure math, where in most areas if not for academia there wouldn't be any research because there's no profit in it.
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Best part of being an r&d lab monkey was watching "10 years of my postdoc research says this should happen" founder on the rocks of "yeah i did that last week on a whim and it doesn't work like that"
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How so? In what ways is it better? Not asking out of criticism, genuinely curious.
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Extremely good data quality, collection, and experimental design Sociological constructs incentivising us to get the /right/ answer rather than a clever one or a trendy one Time to develop profound domain knowledge Immediate feedback from things built using alleged knowledge
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