Just like we should place failed results (when due to wrong science, not bad skills) on an equal level with successful results, we should place failed thesis projects on equal level with successful thesis projects as having added to the general knowledge (again, when the failed projects demonstrate a falsified theory, not when they fail due to mistakes or inability on the part of the student).
Whatever it is, know that science as a whole is giant, diverse, and self correcting over the long term.
When you have lots of people whose livelihoods depend on the gravy train, who can't be sure that what they are working on is fraudulent because they are so specialised, who would take that risk?
Its all about funding. And in the US basically all funding comes from the same source - government, military or corporations - what I think of as the governance system.
Dan Ariely and Francesca Gino were two of the most well-known behavioral economists. Hell, Ariely even published a a board game about it (as well as a bunch of popular books). They've both been accused of data manipulation this year.
My friends in the field are worried that the whole field will be tainted. It grew out of a controversial idea - that despite what past models demand, people don't consistently behave in a rational way. If the two biggest practitioners of a new discipline are outed as frauds, what does that do the the reputation of the discipline as a whole? Will people be skeptical of any behavioral hypothesis that bucks tradition because Ariely was accused of fraud?
And they are far from the only ones: Diederik Stapel, Brian Wansink, the list goes on and on. (I'm not listing the many names, also at R1 universities, whose verdicts are still "in process.")
What NPR liked to call "replication crisis" was a combination of junk science and blatant fraud.
The whole field (slightly more broadly, of social psychology) is badly damaged for at least a generation.
Pete Judo has some consumer-friendly youtube videos on the topic.
Some practical ideas, when allocating the money for research 30% or so has to be kept back for replication. Public science is mostly government funded. And the government could allocate X% percent of the budget for replication work. It sounds like a solvable problem to me.
Based on the recent Ranga Dias fraud, I'd think replication culture still has a long way to go.
If the foundation established by the prior research is flawed, attempts to build on it will usually fail.
Because sometimes they can afford to build on your prior results, and advance the state of the art. Factoring in all of the malfeasance, what's the trade off between not publishing due to inability/unwillingness to replicate, and publishing bad results? We should know this tradeoff before significantly changing the status quo.
> or knows how to replicate the thing you did.
Agree completely.
Of course they can't replicate things like ultra high energy particle research, but these sort of obscure things make up a very negligible chunk of all science produced, even if it's quite an important little chunk.
For example in on of the research areas I'm familiar with (optical communications), there are maybe 10 academic labs in Europe (and even less in the US) who have the equipment to reproduce some of our experiments. In our lab there is 1 PhD student who could pull off reproducing the more sophisticated experiments (because he is the one focusing on communications) it took him 2 years to get to that stage.
This is an relatively easy area, i.e. equipment is largely off the shelve, very applied with lots of industry involvement. There are plenty of experiments published which could only be done in 2 labs (both of them industrial), just due to the cost of the required equipment.
In other areas (e.g. with fabrication in the clean room) reproduction would require even more time investment.
Don't get me wrong, reproducing results is important, but what people don't realise it happens all the time when people do adopt part of published results into their research. Mandatory reproducing results would just create large overheads which would get us nowhere.
I suspect you are likely grossly underestimating the available supplies at many research university in the US. For instance things like class 100 clean rooms are basic facilities. Many (and I want to say most) research universities also have partnerships with (if not ownership) of various specialized labs in the surrounding areas for more specific purposes. For instance the NASA Jet Propulsion Lab is managed by Caltech.
Realtime oscilloscope at least 4 channels > 50 GHz bandwidth $0.5M (for some research you need >=12 channels so multiply that number)
Arbitrary waveform generator 4 channels > 45 GHz bandwidth $0.3M (again you might need more than for channels)
RF amplifiers, electro-optic components etc. easily cost $2000-$5000 each and you need several (4-8 at least) of these. The RF cables and connectors/adapters easily cost several thousand $ each.
Fibre components, subsystem components (e.g. a WSS of which you will likely need 4 or so is $50k).
And I will certainly not let a student without training touch the sensitive high-speed RF equipment.
Regarding your comment on clean-room. For many fabrication purposes class 100 is not sufficient (also calling it basic facility is quite rich). And the equipment in is very expensive, LPCVD machines, E-beam, other lithography ... is $10sM. Most universities I'm aware of require fees (typically paid from grants) of $10sk per year to use the facilities (those are the reduced rates for university staff). The training/certification on the equipment typically takes about 1year.
Regarding JPL, yes it's managed by Caltech, what do you think NASA will say if Caltech professors will ask for a student to use the facilities to verify some paper? Sure, lets delay the next Mars mission a year or so, to let some PhD students try stuff in the labs.
I think you seriously underestimate what the cost of using all that equipment is and how much training is involved to be allowed to use it. You definitely don't want any
It's difficult to really explain how much money is spent in top US universities. It's as if there's a fear that revenues might manage to exceed costs. But one of the practical benefits of this is that bleeding edge hardware and supplies, at costs far greater than anything you've listed, is widely and readily available.
Primary research, pioneering new techniques and equipment to explore the unknown, is time-consuming and costly and requires a lot of original thought and repeated failure until success is achieved. However, reproducing that work doesn't involve much of this. It's taking the developed methodology and repeating the original work. That may well involve expensive equipment and materials, and developing the technical expertise to use them, but that does not involve doing everything from scratch and should not take anything like as long or cost as much.
I also believe that we far too readily overestimate the specific special skills which PhD students and postdoctoral researchers possess. Their knowledge and skills could likely be transferred to others in fairly short order. This is done in industry routinely. A PhD student is learning to research from scratch; very little of their expertise will actually be unique, and the small bit that is unique is unlikely to be difficult for others to pick up. I know we don't like to think of researchers as replaceable cogs, but for the most part they are.
My background is life sciences, and some papers comprise years of work, particularly those involving clinical studies. However, the vast majority of research techniques are shared between labs, and most analytical equipment is off the shelf from vendors, even the very expensive stuff. Custom fabrication is common--we had our own workshop for custom mechanical and electronic parts--but most of that could have been handled by any contract fabricator given the drawings. And the really expensive equipment is often a shared departmental or institutional resource. Most of the work undertaken by most of the biological and medical research labs worldwide could be easily replicated by one of the others given the resources.
Depending upon the specific field, there are contract research organisations worldwide which could pick up a lot of this type of work. For life sciences, there are hundreds of CROs which could do this.
As one small bit of perspective. In my lab a PhD student worked on a problem (without success) for over a year. We gave it to a CRO and they had it done in a week. For less than £1000. The world is full of specialists who are extremely competent at doing work for other people, and they are often far more technically competent and efficient than academic researchers.
Sadly, as long as the tyranny of publishing exists, the other researchers will always prefer working on their own things than replicating someone else's not yet published experiment.