Absolutely not. DOE faculties charge way more overhead for work that they perform for universities—-up to 100%. And DOE lab postdocs are almost 2X as well paid as comparable university postdocs. And their senior leadership in science are way way above GSA scale since they are formally not in the government but work for contractors like Battelle.
If sustained this policy This would put reciprocal contracts and collaborations between major DOE facilities and universities on total hold. Not a good thing if you think progress in science is even vaguely useful.
This is hilarious if you know what universities pay DOE facilities for indirects. Their charges are up to 100%%.
I have a good feel for this working with ORNL.
I hope this means they will be dropping their indirect rates to 15%. Yeh, right.
As others have pointed out in this thread you need to correct for miles driven by Teslas in autopilot versus other vehicles driven in autopilot mode. Without this adjustment, the data are meaningless. And with counts of 5 versus 0 you are deep into Poisson noise level. So yes, I stand by “pathetic”.
There’s no such thing as „other vehicles driven on autopilot”. There’s cruise control, adaptive cruise control, and limited rollouts of level 3 autonomous driving locked to certain regions. You know why? Because everyone else except of Musk knows the tech is NOT ready. It doesn’t matter how many miles driven. What matters is Teslas don’t have radars and every other brand has.
Except the trade offs only go one way. Its a rachet. You never get more free, open systems. Over time your life and the life of your children only gets more bound. It's frog boiling.
You're displaying the exact naivety he's trying to point out.
Maybe, but these types of complaints have a very long history. Photographs are an invasion of privacy. And many forms of technology. We are embedded in complex societies. The idea of being a sacrosanct private silo is a Western mode of thinking, and not an old one either.
are you asking about methods to improve privacy of aggregated datasets? They seem to be not super popular with people in the field, I think because they sharply curtail how data can be used compared to having access to datasets with no strong privacy guarantees. I think the maybe more impactful recent shift is toward "trusted research environments" where you get to work with a particular dataset only in a controlled setting with actively monitored egress.
Homomorphic encryption enables standard GWAS workflows (not just summary stats) while “sharing” all genotypes and phenotypes. Richard Mott and colleagues have a paper and colleagues on this method;
If sustained this policy This would put reciprocal contracts and collaborations between major DOE facilities and universities on total hold. Not a good thing if you think progress in science is even vaguely useful.