#research-system

#research-system

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.

The first event is a roundtable on "Zhuangzi: Fate, Desires, Transformation" on April 6th at 9:00am Beijing time.

The format has ginormous link cards at the bottom of the AI summary, which include a thumbnail of no apparent value, the site name, favicon, description, and title.

Computer programs that check mathematical arguments have existed for decades, but translating a human-written proof into the strict programming language of a computer is extremely time-consuming, often taking months or even years.

China's overall Share from September 2024 to August 2025 exceeded 38,000 and is on course to double that of the United States within the next two years.

Google AI mode has added an 'Ask about this' option above the sources where all URLs are displayed. Clicking on 'Ask about' here automatically pulled a new prompt into the search box.

Librarians have been actively collaborating and talking about it almost every day, whether it's creating tutorials and digital learning objectives or thinking about the conversations to have with instructors. It can feel like cognitive dissonance to be actively working with AI on a regular basis and also saying we're constantly thinking about the harms and the biases.

Known as ExStra, this is a permanent national funding programme designed to strengthen research at the nation's top universities and make them more competitive internationally. While the ExStra programme allows for up to 15 "Excellent Universities" (Exzellenzuniversitaten), only ten institutions have made the grade for the next round of funding.

His message is clear: our world is built on abundant energy, around 80% of which has come from fossil fuels over the past 50 years. Because supplies are limited, energy consumption will peak in decades - sooner if humans attempt to limit climate change. To keep global warming below 1.5 °C by 2100, the use of fossil fuels must fall by 5-8% each year - a pace that is too fast for low-carbon energy to keep up with.

A few years ago, I put together what I felt was a truly innovative concept, which I presented in a conference poster at an international meeting in my field. After the presentation, I spoke to another early-career scientist about my work and how it might apply to their findings. Two years later, they scooped me by publishing a preprint paper that presented my idea, with many of the same verbal formulations and an identical flow of ideas, without any acknowledgement or attribution to my work.

The fewer solicitations you have, the less time grant applicants have to figure out which of our pigeonholes they fit into. In the past, a solicitation might have been for an individual program, which means it's attached to an individual program officer and a specific dollar amount. Now, instead of going to one program officer's area, the NSF will use technology to better route applications to wherever within the agency they can best be reviewed.

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'.

I'm less interested in topics than in questions, and I'm less interested in publishing than I am in curation. When I've testified before Congress or dealt with an appropriations bill or a budget negotiation, this question, of what is the return on investments when you're doing R&D, comes up quite often. It's been asked by economists in very formal ways since at least the 1950s, but the data and the methods that were available were really not very strong.

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."

Scientists are increasingly turning to artificial-intelligence systems for help drafting the grant proposals that fund their careers, but preliminary data indicate that these tools might be pulling the focus of research towards safe, less-innovative ideas. These data provide evidence that AI-assisted proposals submitted to the US National Institutes of Health (NIH) are consistently less distinct from previous research than ones written without the use of AI - and are also slightly more likely to be funded.

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 2023, Australia abandoned its expensive and bureaucratic scholar-led research-assessment programme. New Zealand followed suit soon after. The hope, according to a transition plan unveiled by the Australian federal government's Department of Education and the research sector, was to find a "more modern, data-driven approach". In the United Kingdom, where financial pressures on universities are especially acute, there are similar calls to reform the Research Excellence Framework (REF), the country's performance-based research-funding system.

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.

It quickly became apparent that their duties as principal investigators far exceeded the bench skills that they'd learnt as postdocs.

For nearly 100 years, the United States has been the world's leader in a wide variety of scientific fields. No other country has: invested as much in fundamental scientific research, has made more scientific breakthroughs and scientific advances, has attracted more scientific researchers to move there to conduct their research, or has conducted more projects and been home to more scientists that have won Nobel Prizes.

The boss of UK Research and Innovation (UKRI), the public body which spends 8bn of taxpayer money each year on research and innovation in the UK, has warned the organisation faces "hard decisions" on funding future projects. In an open letter, Ian Chapman said the government had told it to "focus and do fewer things better", which "will result in negative outcomes for some".

What happened over the last year [was] a rupture. We're not going back. It's not possible. Too much damage has been done. Too much has changed,