Reading Bill Gates, John Doerr and Andy Grove on OKRs: https://www.gatesnotes.com/Books/Measure-What-Matters?WT.mc_id=20180516172000_MeasureWhatMatters_BG-LI&WT.tsrc=BGLI&linkId=51788990 … It sounds like an interesting approach for many lines of work (e.g., engineering at Intel), but unsuitable for research.
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Why do you think OKRs aren't useful for research?
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If you hit your objectives in research, it means things have gone badly.
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Perhaps “You and Your Research” / “The Art of Doing Science and Engineering” (book/lectures) by Richard W. Hamming and “Advice for a Young Investigator” by Santiago Ramón y Cajal?
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I've read both. Lots of useful advice, but neither is a periodic evaluative framework for assessing one's research.
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From http://web.mit.edu/tslvr/www/lessons_two_years.html …. In my view, careful and deliberate documentation of your ideas / "experiments". "Failed" experiments may be the best (only?) indication we have for evaluating research progress.
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I doubt any top-down management approach can be useful for research, which is intrinsically bottom-up. So... are there effective frameworks for assessing bottom-up activities?
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If you find any, please let me know!
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