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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.
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?
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?
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!
You might be interested in what we are building at http://scite.ai . Utilizing a deep learning approach we've built an automated way to see how research has been cited, specifically if it has been supported or refuted.https://medium.com/@sciteai/super-powers-for-researchers-9e6c93ef459d …
AI - potentially lethal. caution would seem wise
You should come to this workshop on AI and collaborative open science at Stanford if you’re available! https://www.epatters.org/tacos19/
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