Re:What DeepMind’s AlphaFold 2 really achieved (2020)
by gumby on Monday July 12, 2021 @04:39PM
(#27814811)
> If so, I don't think that really applies to what the article is talking about.
My comment was in reply to this comment by MauranKilom:
> > Maybe I have a wrong conception of what research is supposed to achieve, but commercializing new insights is absolutely one of the intended outcomes. One would sure hope that taxpayer money isn't funneled into research to... just enable more research.
And further on your comment:
> The article is talking about Alphabet [commercializing results from public datasets without needing to pay for them] That's more akin to how it was before Bayh-Dole:
Indeed, pre Bayh-Dole, publicly funded research was public (consider it public domain, or at least "MIT licensed") and anyone could use it.
Now everything has to be licensed from university licensing departments, typically with an expensive exclusive. Which has had a distorting effect on research, not merely restricting use (have you ever tried to work with a university licensing office? They consider even the most trivial results to be Nobel prize class) but, because they are a source of revenue, bending resource allocation, tenure, etc much as sports teams do for the schools that have them.
My comment was in reply to this comment by MauranKilom:
> > Maybe I have a wrong conception of what research is supposed to achieve, but commercializing new insights is absolutely one of the intended outcomes. One would sure hope that taxpayer money isn't funneled into research to... just enable more research.
And further on your comment:
> The article is talking about Alphabet [commercializing results from public datasets without needing to pay for them] That's more akin to how it was before Bayh-Dole:
Indeed, pre Bayh-Dole, publicly funded research was public (consider it public domain, or at least "MIT licensed") and anyone could use it.
Now everything has to be licensed from university licensing departments, typically with an expensive exclusive. Which has had a distorting effect on research, not merely restricting use (have you ever tried to work with a university licensing office? They consider even the most trivial results to be Nobel prize class) but, because they are a source of revenue, bending resource allocation, tenure, etc much as sports teams do for the schools that have them.