The hierarchy of countries winning Nobels in the sciences is shifting
economist.com
economist.com
OñAnother example about the former case (in computer science) is where a researcher can quickly build a team of a hundred post doc students to help in specific topics.
also post docs arent students.
big engineering research efforts like that DO happen in industry though.
Does that really imply research only happens at stanford, MIT and Harvard? Or what are "flagship" institutions?
What I wanted to say is that you can skew you distribution of researchers towards the absolute top by giving the few an enviroment the competitors can't match. I would think that this will probably be revealed if you compare for example nobel-prizes to overall citations a country produced. But that's harder to track.
The research that matters, yes. There and in a few others all around the world.
Papers, on the other hand, are written everywhere by the thousands...
Do you have any basis for this claim?
I've found that (for example) the top research in cosmology and the top in material design and the top in semiconductor physics (as it moves into exploring exotics) are not only different universities (around the world), but that none of them are the three that are mentioned up-thread.
Now, I can sling an anecdote with the best of them, but I am surprised at your claim, so I'm hoping you have better data than I?
Not sure if cosmology is some exception (I guess one could find specialist universities in all kinds of subjects), but overall those three as exactly ranked as the top three, ranked by papers, quality, citations, patents, etc, here, across all kinds of fields:
"To compile the 2017 ranking of the world’s most innovative universities, Clarivate Analytics (formerly the Intellectual Property & Science business of Thomson Reuters) began by identifying more than 600 global organizations – including educational institutions, nonprofit charities and government-funded labs – that publish the most academic research. Then they evaluated each candidate on 10 different metrics, focusing on academic papers (which indicate basic research) and patent filings (which point to an institution’s ability to apply research and commercialize its discoveries), and ranked them based on their performance."
1 Stanford University
2 Massachusetts Institute of Technology (MIT)
3 Harvard University
https://www.reuters.com/article/us-amers-reuters-ranking-inn...
A while back, I was mapping innovation diffusion, as indicated by papers and patents and hiring company's R&D budgets and ROI on said investment and the like, and I was surprised at how much innovation spreads through folks that know one another, as opposed to papers that anyone could (in theory) read. I have to guess that people would similarly cite papers of people they know (maybe even of the same lab?). Do you think that has any effect on the score that you are pointing me towards?
If you go by Nobel prizes, the ranking is different (leaving out non-US contestants):
Physics:
1. MIT
2. Harvard
3. Berkeley
4. Chicago
5. Columbia
Chemistry:
1. Harvard
2. Berkeley
3. Chicago
4. Caltech
5. MIT
Medicine:
1. Harvard
2. Rockefeller
3. Columbia
4. Caltech
5. WashU
Conclusion: Stanford is overrated.
I would even say the opposite. I think a lot of papers from the top-institutions are quite boring and, i think, heavily profit from the name of the institution.
There are quite a few countries with many strong universities, for example, the UK, where I regularly enouncter universities (I think) I have never heard of before. Right now, I have a paper open from the University of Strathclyde, I can't prononounce the name and it's definitly not MIT, but it's definitly research that matters.
Nope, it could also be that suddenly the rest of the world is starting to catch up. There is a fixed number of Nobel-prizes, it's not a measure of productivity -- unless you figure research is fixed sum game.
Edit: looks like the title was updated
Take out a lot of the motives for European scientists to go to the US in the mid/late 19th and early-mid 20th century for example, and how many scientific achievements would be left there?
The book speaks to exactly these trends of decreasing productivity, loss of manufacturing and a decline in educational attainment of the US population as a whole.
The book is not anti-American but a warning by someone who is concerned about the decline of America and the social and geo-political implications that implies.
The social problems mounting up in the US affect all this too. Granted, not noble laureates, but anecdotally I know a couple of Europeans in the sciences who decided to move back to their home country because they found life in the US stressful
Per capita, Sweden, Switzerland, Denmark, Austria, Norway all have more Nobel prizes per capita than UK.
https://www.nejm.org/na101/home/literatum/publisher/mms/jour...
Their statement "Accounting for population, it is the British who have accumulated the most Nobel prizes" is wrong.
I'd be much more interested in a comparison between the European union and the USA, which are similar in GDP and population.
Would be very interesting to see the aggregate and slope of China and India as well. Are they gaining? My perception has been that they are not, but the data is so lumpy, and the nobel such a lagging indicator, that I'm not sure it has meaning.
It's not just nobel prizes in science. It's billionaires list, chess rankings, supercomputers list, top polluters list, top colleges, everything.
China by itself has more people than US and Europe combined. India by itself has more people than the US and Europe combined. ASEAN has more people than europe. If they are able to continue to develop and contribute, it's inevitable that their share of the prizes will increases sooner or later.
What's tragic is that the opportunity costs for them being so underdeveloped. How many geniuses and entrepreneurs were wasted because of lack of development and opportunity? How much human progress have we left of the table as a result? It's sad to think about.
Going back in time, both the German and UK graphs have points where one could've come to the same conclusion, except they quickly recovered.