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Maxim Raginsky's avatar

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Here's what I wrote in the final paragraph of my Mathematical Intelligencer essay about Aristotelianism and optimal control (https://link.springer.com/article/10.1007/s00283-024-10391-w):

"But just as we can clearly see the folly of Maupertuis, Leibniz, and Planck in their attempts to capture the workings of the entire universe in a tidy variational principle, we have to be on guard against technologists’ hubris in all its manifestations, from technocratic governments to Silicon Valley oligarchy. It is certainly tempting to cast about for technological solutions to all of the challenges and dilemmas facing us because “there is a tide in the affairs of men.” But working toward human ideals and aspirations such as justice, happiness, and peace is not a matter of tweaking an objective function here, adding a constraint there, collecting more data, and churning through gargantuan computations using the latest advances in machine learning. It is not just another domain for applying game theory or social choice theory. It is the arena of conflict of values, goals, and worldviews, in which we, as citizens in a democracy, have to use political means to fight for what we think is the right thing to do."

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Tom Dietterich's avatar

Can we learn anything by comparing the academic funding model to the venture capital system? VCs are investing their own money, and yet they make decisions on even less data than is contained in the typical grant proposal. They seem to share other weaknesses (herding, hype) with the grant funding system. Their success rate is low; I wonder if it is similar to the success rate of NSF grants (obviously the definition of success is not the same)? Maybe the rate of bad papers is not so different from the rate of failed startups?

There is also the difficulty that many important advances were side effects of projects funded for other reasons. In computing, my understanding is that the Mosaic web browser was supported by the NCSA grant, but was not part of the grant proposal. I'm not sure about Berners-Lee's work at CERN.

I do think government funded proposals should be made public and should be subject to more careful lessons-learned analysis. How to do this without further penalizing creative, high-risk projects is unclear to me. Failed startups seem to be regarded positively by VCs (presumably because lessons are learned). Can we have a similar (or more effective) process for government-funded science?

To establish the proper level of funding would seem to require some form of return-on-investment analysis that compares ROI of research to the ROI of other uses of taxpayer funds. This is obviously riddled with potential hazards!

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