Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.
Some clinicians have an uncanny quality. A colleague describes herself and others with this instinct as "witchy"-a capacity to know things about patients they haven't said yet, to follow a stray association to a song lyric or a half-remembered cultural reference and arrive, reliably, at something the patient urgently needed to say but couldn't reach on their own. We see with artificial intelligence these intriguing possibilities for discovery, especially as connections that human beings never would see pop out of apparently unrelated data.
In fact, Stawicki was on a mission to save the lives of around 1,000 zebrafish ( Danio rerio) in her laboratory. Similarities between lines of hair cells on the fish's flanks and those in the mammalian inner ear enable her to use them as a model to study hearing problems in humans caused by some antibiotics and chemotherapy drugs. A sensor had picked up that the lab's heating system had been knocked out by a power fault.
When we look more closely at how and why organizations actually invest in these systems, we can see that the popularity of adaptive learning has far less to do with pedagogical ambition and far more to do with operational pressure. Understanding this gap between how adaptive learning is marketed and how it is used in practice is critical for organizations trying to decide whether it is the right approach for their learning needs.
Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer answers to scientific questions. But can AI ultimately replace scientists? The Trump administration signed an executive order on Nov. 24, 2025, that announced the Genesis Mission, an initiative to build and train a series of AI agents on federal scientific datasets "to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs."
Last November, the UK government announced a bold plan to phase out animal testing in some areas of research. Animal tests for skin irritation are scheduled for elimination this year, and some studies on dogs should be slashed by 2030. The long-term vision is 'a world where the use of animals in science is eliminated in all but exceptional circumstances'.
Many colleges and universities have made cuts in these programs, often bolstering STEM programs at their expense. It's a situation that has sparked no small amount of impassioned editorials. The headline of a recent article at The Guardian by Alice Speri referenced an 'existential crisis at U.S. universities,' and Speri's reporting features numerous examples of undergraduate and graduate programs facing cuts or outright elimination.
