You know, the thing I always found extremely frustrating or non-transparent about the academic grant process (and it leaks over into government / NSF / etc applications by the nature of who evaluates those: academics again) is how much unofficial or unspoken criteria come into it. You get extra credit points if you're active in visiting other universities and giving talks on the annual job circuit. You tend to do wel…
I don't know about the academic side, but for corporate grants this part:
> sprinkle a bit of fad-ish topics into your research if even if it's a stretch to do so.
Does work, but only if the core thing you're tackling isn't as meritorious as what the reviewer is used to seeing. So, for example, one grant I wrote for a hardcore AI startup that had huge data engineering issues on a shoestring budget. Former Stanford, Google, etc folks. I didn't need to pull in anything. I just straight wrote the claim (retrospective grant applications are called claims) and we got a big cheque. Most of the work was meticulously going through their pull requests and estimating hours that were research vs traditional software development.
As an aside, I make around $5k per day with this type of work because I get pulled into the most technical claims and I'm very good at it, but I don't enjoy it as much as software development so I only take stuff that I think needs my help.