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Terence Tao: I’m an award-winning mathematician. Trump just cut my funding.
He seems to be referring to how the admin took an axe to science funding by ctrl+F-ing for 'woke' dictionary terms: underrepresented, minority, diverse, etc. The problem is that the effects seem to be about indiscriminate regardless of whether you were a true believer or merely box checking. Will we see upgraded diversity science pledges in the next democrat admin? Researchers might have to carefully consider the political leanings of their funding proposals in election years.
Tao isn't the best example to defend academia because 1) he'll be fine (allegedly his funding was partially restored, but moreover he and his students have plenty of potential sponsors), and 2) his field doesn't have obvious, real-life impact.
What about the NIH scientists working on treatments for cancer and other diseases, and those running long-term experiments that will have to be cancelled without funding?
How are we, as a society, supposed to do any universally-beneficial or long-term research with politicization? When one side demands loyalty, then the other side attacks you for said loyalty, how do we ensure the safety of, if not ongoing, then at least future research?
Industry has been embraced by both sides, but doesn't seem keen to host anything "universally-beneficial" or "long-term". Providing upfront funding for decades-long experiments, especially if it's coming from grassroots organizations (since no government or industry), seems infeasible.
Also, what kind of serious funding does a theoretical mathematician actually need? I could see the need for licenses for certain software like MatLab etc., and the need to rent time on supercomputers, and the need to buy research papers, books, etc. But all of those (except maybe supercomputer time) are things universities are already paying for so the marginal added cost of supporting Tao's research is going to be minimal. The biggest expense is going to be the salaries of Tao and his team.
The biggest expense for almost anything is salaries, at least in the UK. I was costing a project recently and even with quite tricked out hardware and server costs, 70% of the final number was just salaries.
Heh, I'm pretty sure I've used software packages more expensive per seat than the engineers to run them. But yes, salaries are generally the largest. I'm sure pure mathematicians use a lot of chalk too.
Damn what kind of software was that?
Ansys has a very high opinion of some of their products. I've heard others complain that some tools for VLSI (silicon chip design) are in similar price ranges too.
I wasn't paying the bills, so I don't have a specific price in mind.
EDIT: Huh, looks like they got acquired by Synopsys, one of the big expensive VLSI tool vendors. Not terribly surprising. Floating licenses help, too.
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Probably something from Oracle
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