Academics is hampered (deliberately or accidentally) by institutional features like not sharing data and having findings in the form of static documents, but there are alternative approaches that can expedite this process and make the integrity higher: https://www.worksinprogress.co/issue/the-speed-of-science/ #academics #openknowledge #fraud #science #gatekeeping
@koavf
This is a good read.
Thanks for sharing it.
I agree with most of it, certainly in sprit, it is in the details that things get messy.
A very long time ago I worked in a lab, where this was impossible, due to the classified nature of the work.
We were trying to mathematically predict what happens when a huge # of slow neutrons, “bump” into a small bit of very heavy metal.
Btw, we failed, still today that’s a really hard problem.
@corlin Yeah, this is definitely a problem for things like deanonymizing Big Data sets, for instance. Can differential privacy (https://en.wikipedia.org/wiki/Differential_privacy) overcome this? Maybe. But if not, there are still lots and lots of applications where academic publications can and should share data, if for no other reason than the replicability crisis. I appreciate you sharing your experience, too.