The horizon is not so far as we can see, but as far as we can imagine

Tag: Academia

The Disastrous Rise of STEM

STEM includes the natural sciences, math, engineering, and technology-related fields. It’s all the rage, and at the same time universities are shutting down or reducing humanities and social science faculties and offerings.

In one sense this is a simple result of market forces: university is ludicrously expensive, especially in the US (but tuition has risen massively in many other countries) and the “degree premium” has declined. Once just having a bachelor’s degree was enough to get you a good job, now it’s enough to let you apply, competing against a ludicrous number of other candidates, for a wage that often won’t allow you to afford a house or children.

But STEM jobs are in demand, although this may be changing. The current downturn has seen a large numbers of coders laid off and Chat-AIs threaten a lot of programming jobs, though I suspect less than it seems, so far.

I bow to none in my admiration for science, but our society suffers from a simple problem: we’re doing mostly the wrong things with our technology. For all the increases in renewable energy, the climate change and ecological collapse charts  show no change in trajectory. We’re in ecological overshoot, and we’re accelerating it.

This is not a technological problem. We’ve known what to do for a long time, and we haven’t used the technology we have to fix it.

To put it more simply, more technologists just pours fuel on the fire.

A fairly strong case can be made that our problems have been made worse by technology, but more to the point, the solution to our problems is not technological. Our problems require social and ethical change: they are problems related to the social sciences and humanities. We have to do the right things, not the wrong ones.

I’m not sure that the social sciences and humanities have a solution, but they are at least oriented in the right direction, with the exception of Economics and perhaps political science.

Now there are larger problems with academia. For the current topic, let’s just say that they’ve become disconnected from society, and mostly aren’t working on solutions, because of an overemphasis on sterile “research”, publishing findings for other specialists which don’t get to the general population or influence elites for the better.

But a start to solving those problems is to not worship funneling more programmers to figure out how to serve ads better and create superior echo chambers and walled gardens.

A lack of programmers isn’t holding us back. A lack of good ideas becoming influential is.


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America Will Lose Its Scientific Ascendance To China & When Disruptive Science Will Recover

And thinking otherwise is tiresome and delusional. From Nature:

Young Chinese scientists who got their PhDs overseas and returned to China as part of a state-run talent drive published more papers after their return than did their peers who stayed abroad. The productivity bump can be explained by returnees’ access to greater funding and an abundant research workforce, according to the authors of an analysis published in Science1. The findings come as geopolitical competition between the United States and China mounts.

The only things which could derail this are a major war which China loses (though no one’s likely to “win”), or being disproportionately effected by climate change and ecological collapse and unable to handle it.

As regular readers are probably tired of me saying, this happened before with the UK and the US. The research center moves to the manufacturing base.

Meanwhile, a study found that “disruptive science” has declined.

The number of science and technology research papers published has skyrocketed over the past few decades — but the ‘disruptiveness’ of those papers has dropped, according to an analysis of how radically papers depart from the previous literature1.

Data from millions of manuscripts show that, compared with mid-twentieth-century research, that done in the 2000s was much more likely to push science forward incrementally than to veer off in a new direction and render previous work obsolete. Analysis of patents from 1976 to 2010 showed the same trend.

A chart is instructive:

 

Study authors suggest the following:

The trend might stem in part from changes in the scientific enterprise. For example, there are now many more researchers than in the 1940s, which has created a more competitive environment and raised the stakes to publish research and seek patents. That, in turn, has changed the incentives for how researchers go about their work. Large research teams, for example, have become more common, and Wang and his colleagues have found3 that big teams are more likely to produce incremental than disruptive science.

Finding an explanation for the decline won’t be easy, Walsh says. Although the proportion of disruptive research dropped significantly between 1945 and 2010, the number of highly disruptive studies has remained about the same.

David Graeber had another (partial) explanation:

“There was a time when academia was society’s refuge for the eccentric, brilliant, and impractical. No longer. It is now the domain of professional self-marketers”

I’m fairly sure this is a matter of institutionalization and the wrong style of professionalization. Institutions stifle creativity in most cases. Exceptions like Bell Labs are rare; unicorns in modern parlance.

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The old German academic system which took over the world was extremely productive: to become a “doctor” you had to produce new knowledge. It worked fine until the massive expansion of  universities after the war. I’m not an academic insider, but I’m virtually certain that the current system would be unrecognizable to those professors and scientists from the 19th and early 20th centuries: similar to the Roman Empire keeping for the forms of the Republic and pretending the Senate mattered and so on.

The other issue is that “disruptive” isn’t the same as “paradigm changing”, it’s one step down, and I’m guessing that paradigm changing discoveries have genuinely declined. We are mining the same coal seams, and have been for a long time. Quantum mechanics was discovered pre-war, the structure of DNA briefly after the war, Von Neuman and Turing Machines date from the same period. The basis of semiconductors were discovered in 47/48, and so on.

We’re mostly living off the legacy of a past civilization now (because yes, the civilization of the late 19th and early to mid 20th centuries are dead). We haven’t made a lot of fundamental discoveries since, or if we have they haven’t been followed up. Even really fantastic stuff like quantum computing is mining that same vein discovered a century ago.

Further, we have refused to really change our physical plant, beyond the widespread telecom/computer revolution. If time-traveled to the present from 1960, once you learned how to use smartphones/computers/payment systems, you’d be fine and fit in. Oh, there are plenty of small changes, I remember the 70s well enough to know that, but the basic structure is the same.

Physical plant changes demand new solutions, but we’re still running on hydrocarbons and even our “alternative energy” is old. Solar panels were invented in 1883. Windmills are ancient and windmills producing electricity are essentially as old as electricity itself. Our advances in batteries are impressive, but they are extensions.

We don’t really want to change anything fundamental. Computers and telecom were adopted wholesale not because they improve productivity (it doesn’t show up in the macro data), but because they allowed people in charge more control. But in the face of known catastrophes we have done essentially nothing.

When we decide to make fundamental changes to our physical plant and to our institutions (including universities) then there will be a massive upsurge in “disruptive science” and there will be new paradigmatic changes and discoveries, assuming we don’t wind up in a Dark Age.

That will happen when civilization collapse makes maintaining the shell of a 70 year old way of life impossible.

 

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Destruction of the Humanities & Social Sciences and Societal Mis-allocation of Resources

Since 2008 we’ve seen the rise of STEM (science, technology, engineering, and math) and the decline of the humanities and social sciences. Students want to study engineering, programming, science and so on because that’s where the good jobs are, student debt levels are obscene and there has been a social movement towards the glorification of the sciences.

All the good, right? Science and engineering have given us TVs, running water, power and miniature pocket computers which can make phone calls and spy on us 24/7.

But the world has some problems: climate change and ecological collapse and war and plague and so on.

The solution to these problems includes technology and science, to be sure. But generally speaking we aren’t even using the tech we have to solve our problems. Air filtration in every classroom and public building would cut Covid massively, and it’s cheap, and we aren’t doing it. We have known about climate change for ages, and done essentially nothing, even though we have the ability to. Instead, we doubled-down on fracking and finding more oil and gas and we built massive numbers of private jets, whose emission add significantly to the problem.

We’re not using the tech we have to solve our problems, and in many cases we’re using it to make the problem worse.

In other words, are problems aren’t primarily technological: in fact it is our disuse and misuse of technology which is causing many of our worst problems. It’s a sorceror’s apprentice situation, we have power without the wisdom and control necessary to use it safely.

Our problems are social. That means that if academia can help, the help will have to come from the social sciences (not including economics) and from the humanities, which are the disciplines which deal with humanity in all our glorious disastrousness.

Massively emphasizing STEM, except perhaps biological and environmental related sciences, is putting the pedal to the metal until we can sort our social issues which make us use our technology in ways that are vastly self-destructive.

If we want to stop the onrushing disasters, currently epitomized by rivers drying up in Europe and China, that means fixing why we’re doing the wrong things, not the right ones. Technology and science are tools, they tell us how to do things; they can provide some guidance on what to do, but they don’t determine what we do. As climate scientists are well aware, guidance doesn’t work in society isn’t willing to follow it.

Increasing STEM while doing the wrong things with it isn’t a solution, it’s a problem. Perhaps the humanities and social sciences aren’t the solution, but they at least attempt to deal with it, with the fact that we keep doing the wrong things even when we know the right things and know how to do them.

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