So, what to do? That's a subject for another essay (or multiple lifetimes of building). But I can't resist a few thoughts.
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Far more varied funding strategies: eg by golden ticket (where 1 reviewer can ok a project, https://www.nature.com/articles/d41586-018-02743-2 … ); by variance in reviewer scores, using high variance (loved by some, hated by others) as a positive signal; or randomized allocationhttps://mbio.asm.org/content/7/2/e00422-16 …
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Tenure insurance. For a relatively small additional piece of the benefits package, tenure-track faculty are guaranteed a large payout should they fail to get tenure. It's a cheap way to de-risk the tenure process, and to encourage more risk-taking.
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Almost every funder talks about supporting high-risk research. But that is often just talk. A genuinely high-risk program would evaluate failure rates for past grants, and if the failure rate was _too low_ (below 60%, say), the program officer's job would be on the line.
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Finally, technology: What’s going to be the impact of AI on science? Of intelligence augmentation? Of ideas like open science? Might one or more of these dramatically speed up scientific progress?
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Of course, these are just a few ideas. I believe humanity has barely begun to explore the space of possible approaches to doing science. What are the high-order bits in how we do science? What new approaches can we take to discovery?
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We’re both very, very optimistic that we can do vastly better than today. But it needs new ideas, lots of experiments, and lots of imagination!
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End of conversation
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There's some really good work on how new fields are formed. I posted it in my own thread on your article, but it's worth reposting: https://www.sciencedirect.com/science/article/pii/S1751157717302110 …
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Currently,journals are penalized if research which later proves to be wrong is published. That destroys chances for any really revolutionary hypothesis to be published. If,on the contrary,journal were penalized for rejecting interesting articles that would change things greatly
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