Category: ScienceNews

The Lancet this week features a paper calling for a financially sustainable network of influenza labs and experts across Europe. Marion Koopmans was one of the 32 expert signatures, and she describes how Europe needs to learn some lessons from the model developed previously in the US. The ongoing worries around avian H5N1 would be a great example of why funding for that sort of frontline strategic science needs not to be reliant on ad-hoc, potentially political, funding grants.

This weekend, a conference is taking place in Asilomar, CA, to mark 50 years since the 1975 conference there at which scientists developed some rules and guidelines around the future practice of genetic science. The historic Asilomar conference is celebrated by many as the moment scientists first demonstrated that they could spot risks, and self-regulate their activities, around novel and disruptive technologies. Author and scientist Matthew Cobb of the University of Manchester, and Shobita Parthasarathy of the University of Michigan discuss how perhaps other perspectives on the Asilomar legacy should be considered.

Presenter: Roland Pease Producer: Alex Mansfield Production Coordinator: Jana Bennett-Holesworth

(Image: Herbert Boyer (UCSF) and Paul Berg (Stanford) at a conference at Asilomar, February 26, 1975. Credit: Peter Breining/San Francisco Chronicle via Getty Images)

What happens when a team of scientists and local Awajún guides go on a 38-day trip into the Alto Mayo region of Peru? Over 2000 species are identified, of course! Tucked in this lush landscape where the Amazon basin meets the Andes mountains, were 27 species of animals previously unknown to science. It makes us wonder, what else is out there that the scientific community hasn't seen? And who already knows about it?

Check out photos of all the critters we mentioned — and more!

Other ecosystems or critters you think would make a good episode? Let us know by emailing shortwave@npr.org!

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Asked ChatGPT anything lately? Talked with a customer service chatbot? Read the results of Google's "AI Overviews" summary feature? If you've used the Internet lately, chances are, you've consumed content created by a large language model. These models, like DeepSeek-R1 or OpenAI's ChatGPT, are kind of like the predictive text feature in your phone on steroids. In order for them to "learn" how to write, the models are trained on millions of examples of human-written text. Thanks in part to these same large language models, a lot of content on the Internet today is written by generative AI. That means that AI models trained nowadays may be consuming their own synthetic content ... and suffering the consequences.

View the AI-generated images mentioned in this episode.

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Physics has a bit of a messy problem: There's matter missing in our universe. Something is there that we can't see but can detect! What could this mysterious substance be? A lot of astronomers are searching for the answer. And some, like theoretical particle physicist Chanda Prescod-Weinstein, think a hypothetical particle called the axion may make this problem a little ... tidier.

That's right: hypothetical. Scientists have never seen one, and don't know if they exist. So today, we point our cosmic magnifying glasses towards the axion and ask how scientists could find one — and if it could be the neat solution physicists have been searching for.

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CrowdScience listener Dorit has a problem. She wants the tiles in her new bathroom to be arranged randomly but, no matter what she does, it still looks like they form some kind of pattern.

This has got Dorit thinking about randomness – what is it, how do you create it, why do we find it so hard to recognise, and is anything really random at all? And if nothing is truly random, does it mean that everything is theoretically predictable? Tiling your bathroom is a much more existential problem than you might have thought.

Never afraid of a question, whether big (is everything pre-determined?) or small (how do I tile my bathroom?), CrowdScience is on the case.

Anand Jagatia heads to Switzerland to meet Hugo Duminil-Copin, a mathematician at the University of Geneva who specialises in probability theory. On the top floor of an old bank, Hugo has Anand flipping an imaginary coin in a random order. Hugo explains that randomness is something that cannot be predicted by any means – so why is it so easy for Hugo to guess what Anand’s next move is?

Meanwhile, at the National Institutes of Mental Health in Maryland USA, Susan Wardle is a cognitive neuroscientist who researches how the human brain processes visual information. Can neuroscience help Dorit with her tiling problem, and is there a reason why the human brain likes to put random objects into some kind of order?

Geneva is also the birthplace of the first Quantum Random Number Generator for smartphones, and CrowdScience has persuaded some of the University of Geneva’s finest quantum physicists to hook a photon detector up to a synthesiser. Thanks to Tiff Brydges and Nicolas Brunner, we can actually hear quantum particles behaving randomly. But is quantum randomness truly random, or just a pattern that we can’t see? And could quantum physics help Dorit tile her bathroom?

Presenter: Anand Jagatia Producer: Ben Motley Editor: Cathy Edwards Production co-ordinator: Ishmael Soriano Technical producer: Jackie Margerum

Valentine’s Day is here - the one day of the year where you can be unashamedly romantic and splash out on posh dinners, flowers and chocolates for your beloved. So we dig into the science of love.

First, we find out about a monogamous rodent that has a special way of forming lifelong bonds with its partner. Next, we discover how to apply maths to your love life, before delving into the technology behind AI chatbots, and find out if a new dating app can help shine a light on the science of compatibility.

Plus, we are joined by Bianca Acevedo, a research scientist at the University of California, Santa Barbara, who studies the neuroscience of love. She reveals what’s going on in our brains when we are infatuated with someone and what purpose love serves.

Presenters: Marnie Chesterton, with Tristan Ahtone and Edd Gent Producers: Alice Lipscombe-Southwell, William Hornbrook, Debbie Kilbride, Imaan Moin and Noa Dowling

For years, scientists have known that oxytocin is important in facilitating the feeling of love in humans. How do they know? Prairie voles. For years, scientists have relied on the cuddly rodents to help us humans understand how this protein works in our brains. But within the past few years, research has complicated that understanding, prompting the question: Can love prevail without the "love" hormone? (encore)

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This week the recently spotted asteroid 2024 YR4 had its odds of missing us “spectacularly” slashed by 1 percentage point. Still nothing to worry about maintains Patrick Michel of the International Asteroid Warning Network, and he expects that with better tracking data in the next few months (even courtesy of the JWST) that tiny chance of collision will fall further. However, as he explains, it’s very comforting to know that we now have such a sophisticated tracking network, and even better, thanks to NASA’s DART mission, even a demonstrable method for doing something about it if the numbers go the other way…

But other extraterrestrial bombardments are harder to detect at all. This week scientists of the KM3NeT collaboration report in the journal Nature their detection of the most energetic neutrino ever noticed. Almost countless numbers travel through the earth – and us – every second, but this little beauty arrived from deep space, plummeting through hundreds of miles of rock and sea (via Malta) to collide with a single molecule of water in the Mediterranean sea. As Paschal Coyle of Aix Marseille University happens to run a cubic kilometre of neutrino observatory in that area explains their huge instrument was barely begun when the record breaker smashed through the area in February 2023.

Finally, years of breeding rice cultivars for higher yield may have subtly changed the plants relationship with the microbes in the paddies in which they grow, inadvertently boosting the amount of methane released into our atmosphere. New research, including 3 years of field trials in China have produced a new cultivar, breeding in some of the older stocks, with just as high yields yet up to 70 percent lower methane released. This could make a serious difference to global methane emissions, as Microbiologist Anna Schnürer of Uppsala BioCenter in Sweden describes.

Presenter: Roland Pease Producer: Alex Mansfield Production Coordinator: Josie Hardy

(Photo: Asteroid 2024 YR4 as observed by the Magdalena Ridge 2.4m telescope Credit: AFP/NASA/New Mexico Institute of Technology)

Rocky Mountain Spotted Fever is one of the deadliest tickborne diseases in the United States, often killing people within about a week if left untreated. At one point, the San Carlos Apache Reservation had rates of infection 150 times the national average. But now, they've achieved a huge milestone — no deaths from the disease in at least five years. NPR science correspondent Pien Huang and producer Megan Lim visited the reservation to see the program that led to their success.

Read Pien's full story here.

Interested in hearing more science success stories? Email us at shortwave@npr.org.

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The U.S. tested nuclear weapons until the early 1990s. Since then, scientists have been using supercomputers and experiments to simulate nuclear test detonations, without detonating any nukes. But there are signs the world's nuclear powers may be readying to test again: Russia, China and the U.S. are all upgrading their nuclear test sites.

NPR science correspondent Geoff Brumfiel was among a small group of journalists allowed to tour an underground laboratory where this research happens.

Read more of science correspondent Geoff Brumfiel's reporting here.

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