What are ways to watch/monitor emerging technologies a la data? Measure/access what's important?
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After that, what to do with that info?
Is there money to throw? Or policy actions (like inc. risk in peer review?)
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Move away from exploratory data analytics.... Context analysis key. Is that paper cited because it was wrong?
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Careful about the fitting! Radically different data sets with same metrics
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Huge implications on funding evaluation and subsequent careers.
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If your computer can represent words (and their meaning) as a 3D vector, then off we go...
His lab models the meaning of words and reasoning in language. Bias? 🤨😬 Tricky stuff.
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Similarity between the paper you cite and paper you're writing.
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Measuring academic impact?
Adam's example given: Twitter bots can be made to promote certain papers, skewing metrics... This can be done right now.
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Shout out to Librarians. They have been doing this stuff for years... now add with comp sci, ML, and data to their expertise
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Another great question: distillation of years of research into short material useful for policy briefs?
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