Part the First: Back to the Past in Science and Medicine. The future of basic science in the United States looks grim for everyone from the aspiring graduate student to the full professor who has met her potential and has several graduate students, postdocs, and technicians working in her laboratory. The precipitous and arbitrary Big Beautiful Bill lending limits placed on medical, nursing, and other healthcare students will only exacerbate the problem. The numbers of students from previously underrepresented groups, including women and rural students, will collapse back to the baseline that was determined largely by family wealth and nepo baby connections (which is the plan). The cancellation of programs to encourage students from underrepresented groups to consider a life in science will contribute further to our scientific decline:
The new data are being released in a political environment much less kind to such programs than when they began three decades ago. Over the past year, both programs, the Research Initiative for Scientific Enhancement (RISE) and Minority Access to Research Careers (MARC), were terminated by the Trump administration — as was the funding for the study itself.
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The RISE and MARC programs were created in response to the NIH Revitalization Act of 1993, which called for the agency to “increase the number of underrepresented minorities engaged in biomedical and behavioral research.” The RISE program provided funding to institutions to create educational and mentoring opportunities for students to prepare them for a career in biomedical research. The MARC program provided two years of funding directly to undergraduates to do research along with professional training.
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The paper matched students on 11 variables, which included their major, grade point average, their intention to become a scientist, and first-generation status. In total, the study included 608 students in the two diversity programs, and 135 students used as comparisons. The researchers found that 20% of the RISE students and 34% of the MARC students earned a Ph.D., as compared to 10% and 15% in their comparison groups.
These things are difficult to measure, but these results are positive. I have worked several of these students, and for most of them the program was their only path into a career as a scientist.
Finally, a short note on women as a historically underrepresented group in science and medicine. The scientist I worked for as a postdoctoral fellow was the first woman in a basic science department to get tenure at our top-5 medical school. And this happened only after an external review of the department said that it was absurd she was still waiting, based on her history of discovery. The department in which I did my long apprenticeship as a technician/research coordinator and then PhD student hired its first woman faculty member in 1978. Medical school entering classes have tended to be 60/40 women/men over the past several years. When I contemplated medical school in the late-1970s the ratio was closer to 25/75 women/men.
History is not as far in the past as people seem to think. And a return to that past seems entirely possible.
Part the Second: The Essential Summary of the Current State of American Science. U.S. science in chaos: How did we get here?
Countless scientists around the country are going through the same thing. Thousands of federal grants have been frozen or canceled, with perhaps 2,600 still in limbo—about $1.4 billion worth. The National Science Foundation and the National Institutes of Health are awarding three quarters of their usual number of grants. Fewer people are entering graduate programs. Nearly 95,000 scientists have left federal government employment. The NIH used to issue as many as 850 “Notices of Funding Opportunity” every year—requests for proposals that sought specific kinds of research. In 2025 the agency issued 120. By mid-March of 2026, the NIH had sent 14.
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Now, to be sure, the end product of science is supposed to be science, not grants or tenure. Applying for highly competitive grants with limited funding is what scientists have always had to do to carry out the science—a flawed process with few alternatives. But arbitrary cancellations and delayed disbursements are unprecedented. And justifying them on the basis of politics—prohibiting, for instance, grants that include language referencing diversity, equity and inclusion (DEI)—was unheard of until now.
The author correctly places the inflection point at the Bayh-Dole Act, passed during the one-term administration of our first neoliberal President, Jimmy Carter. That is not a coincidence:
And in 1980 Congress passed the Bayh-Dole Act, moving ownership of the results of government-funded university research from the government to the universities. Now a blockbuster new drug or search algorithm could be a windfall for a university, and university administrations had common cause with venture investors. More basic discoveries started getting turned into dollars. But the alliance shifted the emphasis from state capacity to financial outcomes.
Read the whole article when you have time and bookmark it for future reference. There is probably no other one-stop account that covers the issue better.
Another opinion piece in Science on the Research Project Grant adds to the discussion, while pointing out that the archetype that was Bell Labs was a one-off thing killed when AT&T became anathema:
The reformers’ solution is elegant in theory. Rather than forcing scientists to write grants, give them stable institutional homes; rather than funding projects, fund people and organizations. Create a network of 10 or 20 institutes, each empowered by block funding (long-term, unrestricted institutional support) to pursue research programs the RPG cannot support. The promise is Bell Labs redux: the industrial lab that gave society the transistor, information theory, and the laser, none from a grant application.
The central confusion is that Bell Labs was not a government program, but the research arm of a regulated monopoly, AT&T, funded by captive ratepayers (was that so bad in hindsight?), accountable to no appropriations committee, free to operate on a time horizon no public agency could sustain. The true parentage of X-Labs is not Bell Labs but the continental model: Germany’s Max Planck Institutes (MPIs), France’s Centre national de la recherche scientifique (CNRS), and the US Department of Energy (DOE) national labs.
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What the RPG gets right is easily overlooked because it is built into the mechanism, not into the wisdom of any administrator. The grant follows the investigator; a scientist treated badly can leave and take their funding with them, giving the scientist real bargaining power vis-à-vis their institution. The system also offers multiple doors—NSF, DOE, the National Institutes of Health (NIH), and other agencies and private foundations—so that a paradigm out of favor at one agency may find support at another. NIH alone makes roughly 40,000 RPG awards a year, a portfolio that could support randomized experimentation and rigorous self-evaluation (this, from the author, is not a solution to anything) if agencies were so inclined, and that a handful of X-Labs could not. The bundling of research with graduate education that the RPG sustains is the commons from which any new institution would draw the scientists it proposes to redeploy.
I suppose the next administration, from wherever it comes, might reconsider how science is supported in the US, but a continued decline along with the dissolution of American Empire seems more likely.
Part the Third: Good News from NIH. The United States is full of former industrial sites that are stews of noxious and dangerous chemical wastes. The National Institutes of Health has funded an award to study several of these in one small area along the Georgia Coast:
After decades of pollution, Brunswick residents have a new resource for researching the link between area Superfund sites and their health.
A five-year, $15 million grant from the National Institutes of Environmental Health (NIH) has been awarded to Emory University to examine how environmental contaminants affect human health, following a 2023 pilot study involving approximately 100 Glynn County residents, according to the Emory University Rollins School of Public Health.
Emory will lead the research in partnership with university faculty from the University of Georgia, Georgia Institute of Technology, Morehouse School of Medicine, Spelman College, and Texas Tech University.
“By combining cutting-edge exposure science and health research with direct community partnerships, the center will translate complex environmental data into practical information that can support healthier decisions for families, clinicians, and policymakers,” said Dana Barr, a professor of environmental health at Emory University’s Rollins School of Public Health and director of the new Superfund Research Center.
I am very familiar with the two largest sites on the list. They are evidence of our previous (and returning) disregard for Creation. But this lack of care was normal back when the world was seemingly empty and therefore useful as a sink for industrial wastes. Not so much as it turned out. And while it might cause some cognitive dissonance, the first substantial recognition of this came during the Nixon Administration when the Environmental Protection Agency was established. At least one of the four sites covered here may never be cleaned up, but the public health establishment will gain a better understanding of what has been done to the land, water, saltmarsh, and the people and what might be done to help in the future.
As one of thousands of supporters of 100 Miles, thank you to the scientists who will do the research and NIH for funding the work. We look forward to your results that will undoubtedly reveal several “social determinants of health” inhabitants of the current administration believes are fictitious. This research will be extendable to any number of similar sites around the country, including Cancer Alley, which is covered well in Strangers in their Own Land by Arlie Russell Hochschild.
Part the Fourth: Yeasts, Our Friends in the Laboratory. One of my goals here has been to explain how biological and biomedical research is done in the lab. I have used many unconventional experimental systems in my lab life, ranging from the single cell organism Thecamonas trahens (representative of the first step on the branch leading to animals) to jellyfish to mice. By the time I got to them, yeasts were not unconventional but they were and are unusual, especially for the nonscientist. The Scientist is primarily a magazine for advertisers, but it also publishes general interest articles that explain things well for the general reader. The Rise of Yeast as a Model Organism in Biology is one of them:
For millennia, yeast has held a place at the table of history, transforming flour into bread, grapes into wine, and grain into beer. But yeast is much more than a building block for a good meal. It offers a glimpse into the fundamental questions about the inner workings of cells and into something much larger than itself—human biology.
In the latter half of the 20th century, researchers relied on mammalian systems, including mouse and human cells, as representatives of higher eukaryotes. Yeast had not yet become a widely recognized model organism for studying fundamental biological processes.
One researcher, however, would begin to question this approach. In 1964, Leland Hartwell was a postdoctoral fellow in virologist Renato Dulbecco’s group at the Salk Institute working with polyoma virus-infected mammalian cells to study how the infection influenced cell growth and induced DNA synthesis. However, Hartwell remarked, “I felt like I wasn’t going to get anywhere with human cells…There just weren’t technologies to allow us to really ask fundamental questions.”
Hartwell eventually left the Salk Institute for a position at the University of California, Irvine, where he had received a grant to study the control of cellular DNA synthesis. Determined to pursue a different approach, he decided not to continue working with mammalian cells. “I spent a lot of time in the library looking for a eukaryotic organism that had [facile] genetics, because I was impressed by the success that had been made in studying gene regulation (the locus classicus on gene regulation) in bacteria and bacterial virus reproduction both using genetics.” His search ultimately led him to yeast.
Why are yeasts so useful? They are small, cheap to culture, genetically tractable, and most importantly they are our sisters among opisthokonta at the cellular level. Without yeasts, we might still not understand very well how our cells regulate cell division. Leland Hartwell initially identified many of the genes responsible for the control of cell division. Paul Nurse showed later that a critical protein in another very divergent yeast does the same thing. But more than that, he showed that human and yeast proteins did the same thing:
Looking for (the budding yeast) CDC28 homolog in (the fission yeast) S. pombe, Nurse took a budding yeast library, put it onto a fission yeast cdc2 temperature-sensitive mutant, and cloned a DNA sequence from budding yeast. Upon further investigation, his team later determined that cdc2 in fission yeast was the homolog to CDC28 in budding yeast; it was necessary for (progression through the cell cycle and cell division).
While these yeast findings excited him, Nurse wanted to look for the human homolog of this gene. The idea seemed far-fetched, as yeast and humans probably diverged about 1.5 billion years ago. “Obviously, most people thought we were crazy, and we probably were,” said Nurse, who at that point worked at the Imperial Cancer Research Fund. Undeterred, Nurse and his team used a human cDNA library and inserted the entire catalog into S. pombe with a defective cdc2 gene. Nurse described it as “the dirtiest experiment you could imagine,” because he wasn’t sure it would even work—but it did. They observed that a human gene functioned similarly to yeast cdc2, effectively rescuing it and restoring its function: Could this be the human homolog they were looking for?
Well, yes, it could be and it was. The human protein worked just fine in yeasts. In one of the most remarkable results I ever read in a journal:
It took them a few more months to confirm the result using Sanger sequencing (this would be an overnight automated task today). When the computer printed out the results on the ticker tape, Nurse couldn’t believe his eyes. The findings revealed that the human and yeast proteins were over 60 percent identical. Because of these similarities, the mechanisms controlling the cell cycle were likely to be conserved in eukaryotes. They had found the human homolog: cyclin-dependent kinase 1 (CDK1)
Shortly after this work, which led to a Nobel Prize in 2001, I used what the late Ira Herskowitz originally and somewhat tongue-in-cheek called “the awesome power of yeast genetics” to get my PhD by characterizing another cell cycle mutant. It was fun! And “the awesome power of yeast genetics” was repeated with a smile by every “yeast person” giving a talk, or those with a sense of humor, which most of them had. We also used Ira’s simple style in preparing our slides, pre-PowerPoint. My project could not have been done using any other system.
So, when people wonder why someone gets grant support to work on yeast, tell them that many cancer chemotherapeutics were designed to attack proteins that were first identified in our fungal relatives. And finally, if you will indulge a personal comment, the highest moment of my scientific career may have been having the one and only Ira Herskowitz talk to me for thirty minutes about my work and its importance while we were at a scientific meeting in Seattle. That kind of thing lasts a long time, as in, to this very day. As Jasper Rine put it in the link to his eulogy for Ira, he was our Larry Bird and Tiger Woods (before his successive and precipitous falls from grace).
Part the Fifth: Another Response to Our Impending AI World. Lately the well that is Front Porch Republic has been full of good things, with commentary on so-called Artificial Intelligence leading the way. Teddy Macker has written In Defense of Our Country: On the Need to Resist AI and AI Data Centers. Phillip Sherrard is less well known that most of the other writers Macker begins with, but he shouldn’t be:
The physical world, regarded as so much dead stuff, becomes the scene of man’s uncurbed exploitation for purely practical, utilitarian, or acquisitive ends…This is why the application of science—which is not really the application of science at all but the application of an unbelievable ignorance—has produced such disequilibrium, ugliness and even destruction not only in the natural world but in human life as well.
Harsh. One does not have to be an Orthodox Christian to appreciate this, but it can be difficult to get a scientist, heathen or heretic, to understand any of it. Mr. Macker begins:
Thich Nhat Hanh loved telling the story of a man riding a horse. The horse gallops along as if the man is on a mission of great consequence. Another man sees the rider tearing down the road and shouts, “Where are you going?” The rider yells back: “I don’t know! Ask the horse!”
This teaching came to mind while thinking about artificial intelligence. One might say that our country is riding a horse, and we have no idea where it is taking us. But after reflection, I see that this is not quite right. We do have an idea where this new technology is taking us.
Because Gandhi didn’t have an expert’s sense of economics, it allowed him—some claim—to see economic arrangements with fresh eyes. Because he didn’t get lost in the endless niceties of complexity, he was able to see the big picture, as we say now, and this big–picture vision enabled him to suggest and sponsor healing, hidden-in-plain-sight reforms. We should perhaps remember this claim about Gandhi when it comes to AI. We don’t have to be podcast-hosting experts with “150 IQs” fluent in tech-speak to shape the general welfare of our country. We don’t have to use phrases like “inflection point” and “preference cascade” and “effective accelerationism” to stand up and be counted. In fact, in order for our country to be our country we need to stand up and be counted, for we are, as Thomas Jefferson says, “the safe depository” of this country’s “ultimate powers,” no matter what the cynics and the understandably demoralized might believe.
So far, what has AI brought us that we did not have before? Deep fakes that have rendered our world of information suspect, all the time. “Cognitive surrender” of students and teachers, readers and writers, with many “books” listed in the Bezos Bazaar being the products of one large language model or another, it doesn’t matter which. Artists put out of work; ditto for musicians. At least 156 people killed, 120 of them children, in Minab during an unnecessary war. Mass unemployment to come, except for those who do not have to actually work for a living:
We hear how some AI creators are openly suspicious of democracy and sympathetic to eugenics. We hear that some are building elaborate “doomsday bunkers” and planning “sovereign colonies” free of government regulations in our oceans, in foreign countries, and in space. And we hear that the president of Argentina wants to completely deregulate AI in his country and help create something called the “non-human corporation,” a legal entity owned and operated completely by AI robots. Says Forbes of such a corporation: “Imagine a company with no CEO, board or human employees—just artificial intelligence making every decision, signing contracts and owning assets in its own name. That scenario once felt safely hypothetical—ripe subject matter for SciFi movies and novels for years.”
Will AI “discover” cures for cancer? Maybe, and that is a good thing but not something that it can do on its own.
Finally, Mr. Macker gets it right in my view when he quotes Teilhard de Chardin, Jesuit priest and scientist:
We can no longer afford to isolate our deepest understandings—apprehension of the holy and of the “hidden wholeness,” that fundamental unity underlying reality—from the affairs of our communities, of America, and our Earth. Putting these deepest understandings front and center (understandings that are so important, so central to our lives, yet can never be adequately and finally conveyed) prompts in one humility and loving care. The most important thing, the wise remind us, is to remember the most important thing. “In our hands, the hands of all of us,” says Pierre Teilhard de Chardin, “the world and life—our world, our life—are placed like a host.”
Whether one is religious or not, the words and concepts “holy, whole, and health” come from the same root. And this should never be forgotten.
Thank you for reading! See you next week!


Contaminated sites–
It’s good to study the health effects, but we also need to be spending money figuring out better ways to decontaminate sites. The approach now is to remove contaminated soil, but just what are you supposed to do with that? Bury it or incinerate it are the options. The first just moves the problem, perhaps to an aquifer; the second is expensive, consumes energy and impacts the atmosphere. Plus, if you want to do anything with the decontaminated site, you have to remove topsoil from somewhere else and truck it there.
The better solution is to use Nature to decontaminate the area. Plants like comfrey can remove heavy metals from far below the topsoil with their deep roots. The plants will need to be removed and incinerated, but the volume will be greatly reduced. Even better is mycoremediation, but much more research is needed. Our distant fungal relatives can decontaminate soils with harmful hydrocarbons and other organic substances. With the help of friendly bacteria, they break down organic molecules into harmless substances. Mycoremediation applied to heavy metals still requires removal and incineration.
But these techniques still need study to be employed successfully.
Re: Teilhard–
Thomas Berry was his student. Teilhard went a bit overboard on the teleology, but Berry’s focus was on humanity’s current relationship to the cosmos:
That reminds me of William James saying that the universe is like a committee, or a federal republic. One earnest discussion for the layperson of the implications of this view states: Because the universe is a committee, your moral choices, actions, and beliefs actually change the course of reality. The outcome isn’t guaranteed, and human effort genuinely matters in shaping what the world becomes.
At this point Reinhold Niebuhr’s Serenity Prayer comes to mind.
Thanks for that.
Thank you, HMP. Thomas Berry’s The Dream of the Earth was my introduction to his work. It made a lasting impact. And where did I find him? Before it was cut loose by the Department of Auxiliary Services and taken over by Follet, my University Bookstore sold books, from rows and rows of publishers current offerings and back lists in all subjects and disciplines. Probably only about 5% of students cared, but that is how we educated ourselves. One of these days there is an essay in education and all I have to do is list the books I bought there. It wasn’t the Seminary Co-Op or Strand or the Shorey Bookstore in Seattle, but it was serious. Now, only a few current bestsellers, with the history section filled with Jon Meacham and the like. And where the books were, racks and racks of licensed apparel, water bottles, stuffed animals…Cognitive surrender long before AI and it is sickening.
That bookstore is where I bought a copy of Ernst Mayr’s essays in the history of biology. One of them was called “Teleological and Teleonomic: A New Analysis” IIRC (I did remember correctly). No biologist can be a good biologist without a streak of teleology in his or her soul. Which is why they are so few and far between these days. Or that’s my view and I’m sticking to it. On Teilhard and teleology, goal-directedness in the biological world is obvious, which implicates the universe as a whole. But it is best not to crawl to far out on that stout limb.
I just love the words cognitive surrender because these two words seem to capture so well a terrifying technological trajectory we seem to be on.
AI looks more and more as the perfect instrument of total political control.
Neocortical warfare is accelerating and voluntary mass cognitive surrender through a genuine appreciation of AI insights may be a key part of the strategy.
“Cognitive surrender” jumped right out at me and was a revelation. It is going into my in-house critique of AI in medical education and the practice of medicine, with attribution, of course. You cannot imagine how much these misshapen “tools” are damaging the Med Ed profession and by extension the medical profession not too far down the path.
‘The numbers of students from previously underrepresented groups, including women and rural students, will collapse back to the baseline that was determined largely by family wealth and nepo baby connections (which is the plan).’
So it is sort of like India’s caste society as a plan then. OK. When I read of things like this I am reminded of Mark Blyth, the Scottish-born American political scientist. Here is an example of him talking several years ago-
https://www.youtube.com/watch?v=nwK0jeJ8wxg (4:17 mins)
The reason that I mention him is that in an interview he stated flatly that without government supported education – including higher education – that he would have been just some guy wandering the streets of Dundee in Scotland now. And that would have been a terrible loss and waste of human talent. Same with all those future scientists that will now never be.
So far, what has AI brought us that we did not have before?
Using AI techniques brought us AlphaFold, the first of a growing family of tools for determining 3-D protein structures given the sequence of amino acids that construct the protein. It also helps determine how proteins react with other proteins and other complex molecules. Using AI techniques brought us AlphaGo, a program that mastered the game of Go. Using AI techniques promises to bring us tools for ‘solving’ other similar complex but well-defined pattern recognition problems.
Using AI techniques to assemble Artificial General Intelligence (AGI) promises to bring us AGI — but will deliver widespread financial ruin and enormous waste of resources. Human intelligence could recognize the pattern of greed and hubris driving the compulsion toward AGI. As matters stand using AI techniques to assemble AGI will bring us the catastrophic collapse of our economy. This could be a financial and ruin eclipsing all ruin that came before. Using AI techniques to disassemble the economy could bring down — or at least greatly catalyze the destruction of the supports holding the Empire together thereby greatly accelerating the destruction of the remaining faltering ruins of the American Empire.
What we currently refer to as AI is pretty much generative AI in the form of large language models, rather than the many powerful machine learning techniques that are applied daily to numerous tasks.
Using LLMs to assemble AGI is as plausible and likely as using paste and popsicle sticks to make living penguin, despite the marketing hype from the leading grifters in the field. The massive waste of energy and misallocation of resources is a snowballing con that is polluting our information with slop. Turning creators into creators, authors into editors, programmers into reviewers. Massive deskilling of entire swaths of society are the best they can offer, but only if no one checks the financials.
I believe the madness driving a rush toward Artificial General Intelligence (AGI) and financial gains from other AI systems all but obscures the most valuable product hidden in the AI ‘solutions’ to various problems. AI does not show its work in reaching a solution. Often the specific answer is less important than the path followed to reach that solution. Instead of chasing a quick buck from AI ‘solutions’ I believe research should concentrate on discovering ways to trace and interpret the way that an AI reaches its solution. It may be that some problems are only solvable by brute force methods and lack any inherent structure or principles of design. AI can navigate their brute force solution. Other problems could yield some kind of knowledge about their problem space through their solutions and a map of those solutions. They could discover some principles of design to guide the solution of other problems.
I cannot clearly express what I want to say. I feel that some problems offer ‘knowledge’ in a way that problems that only brute force can or could solve lack. I do not know precisely what I mean by that ‘knowledge’. It is the kind of feeling I have of ‘really’ understanding some proposition after reading and grasping a well written proof for it. It is the kind of feeling of lack I have in reading about a computer proof by exhaustion — for example — the computer proof by exhaustion of the four-color problem, contrasted with the feeling of knowledge I could glean from study of Kuratowski’s theorem and its proof.
Nice part the 4th explanation on how and why research projects arise and some of them take us to significant breakthroughs. With yeasts… People working in many different fields like in plant biology turned also to yeasts as a very useful research tool in the nineties.
The simple pleasure of reading a story that, at the same time, teaches something interesting to inquiring minds. Thanks KLG and best regards. Besides this is a rest from the horrors we read daily.
This story tells something about how scientific research is also about chances and luck and why is it important to have many and diverse scientists each one with their own approaches to progress in science.
I was briefly, in the mid-’60s, a biology major in college. Now I am in my late 70s, and when I read these pieces by KLG one thing that impresses me is how much has been learned about the mechanisms of life. Life is wondrous, and the human ability to find out the details is also wondrous. Wikipedia provides this reading of Hamlet’s speech:
Unfortunately, “what a piece of worke” in a different sense also applies, as all who come here to follow the news see and feel. Forces with mass and momentum are in motion. Nevertheless, as the Yogi Berra-ism I made up myself puts it, You never know when something surprising might happen.