Should researchers use AI to write papers? Group aims for community-driven standards

Link: https://www.science.org/content/article/should-researchers-use-ai-write-papers-group-aims-community-driven-standards

Excerpt:

When and how should text-generating artificial intelligence (AI) programs such as ChatGPT help write research papers? In the coming months, 4000 researchers from a variety of disciplines and countries will weigh in on guidelines that could be adopted widely across academic publishing, which has been grappling with chatbots and other AI issues for the past year and a half. The group behind the effort wants to replace the piecemeal landscape of current guidelines with a single set of standards that represents a consensus of the research community.

Known as CANGARU, the initiative is a partnership between researchers and publishers including Elsevier, Springer Nature, Wiley; representatives from journals eLife, Cell, and The BMJ; as well as industry body the Committee on Publication Ethics. The group hopes to release a final set of guidelines by August, which will be updated every year because of the “fast evolving nature of this technology,” says Giovanni Cacciamani, a urologist at the University of Southern California who leads CANGARU. The guidelines will include a list of ways authors should not use the large language models (LLMs) that power chatbots and how they should disclose other uses.

Since generative AI tools such as ChatGPT became public in late 2022, publishers and researchers have debated these issues. Some say the tools can help draft manuscripts if used responsibly—by authors who do not have English as their first language, for example. Others fear scientific fraudsters will use them to publish convincing but fake work quickly. LLMs’ propensity to make things up, combined with their relative fluency in writing and an overburdened peer-review system, “poses a grave threat to scientific research and publishing,” says Tanya De Villiers-Botha, a philosopher at Stellenbosch University.

Author(s): HOLLY ELSE

Publication Date: 16 Apr 2024

Publication Site: Science

doi: 10.1126/science.z9gp5zo

Naked mole rats defy the biological law of aging

Link: https://www.science.org/content/article/naked-mole-rats-defy-biological-law-aging

Excerpt:

The first study to analyze the life histories of thousands of naked mole rats has found that their risk of death doesn’t go up as they grow older, as it does for every other known mammalian species. Although some scientists caution against any sweeping conclusions, many say the new data are important and striking.

“This is remarkably low mortality,” says Caleb Finch, a biogerontologist at the University of Southern California in Los Angeles who was not involved in the new study. “At advanced ages, their mortality rate remains lower than any other mammal that has been documented.”

Scientists have long noted that naked mole rats—burrowing rodents with wrinkled, pink skin and large protruding teeth that live in large, subterranean colonies—show few signs of aging and far surpass the life span expected of a rodent this size. Mice in captivity live at most 4 years; based on their size, naked mole rats would not be expected to live past 6 years. Instead, some live beyond 30 years, and even at that age breeding females stay fertile.

Author(s): KAI KUPFERSCHMIDT

Publication Date: 26 JAN 2018

Publication Site: Science

Sex Bias in Graduate Admissions: Data from Berkeley

Link: https://science.sciencemag.org/content/187/4175/398

Graphic:

Excerpt:

Examination of aggregate data on graduate admissions to the University of California, Berkeley, for fall 1973 shows a clear but misleading pattern of bias against female applicants. Examination of the disaggregated data reveals few decision-making units that show statistically significant departures from expected frequencies of female admissions, and about as many units appear to favor women as to favor men. If the data are properly pooled, taking into account the autonomy of departmental decision making, thus correcting for the tendency of women to apply to graduate departments that are more difficult for applicants of either sex to enter, there is a small but statistically significant bias in favor of women. The graduate departments that are easier to enter tend to be those that require more mathematics in the undergraduate preparatory curriculum. The bias in the aggregated data stems not from any pattern of discrimination on the part of admissions committees, which seem quite fair on the whole, but apparently from prior screening at earlier levels of the educational system. Women are shunted by their socialization and education toward fields of graduate study that are generally more crowded, less productive of completed degrees, and less well funded, and that frequently offer poorer professional employment prospects.

Science 
 07 Feb 1975:
Vol. 187, Issue 4175, pp. 398-404
DOI: 10.1126/science.187.4175.398

Author(s): P. J. Bickel, E. A. Hammel, J. W. O’Connell

Publication Date: 7 February 1975

Publication Site: Science

Face masks effectively limit the probability of SARS-CoV-2 transmission

Link: https://science.sciencemag.org/content/early/2021/05/19/science.abg6296

Graphic:

Abstract:

Airborne transmission by droplets and aerosols is important for the spread of viruses. Face masks are a well-established preventive measure, but their effectiveness for mitigating SARS-CoV-2 transmission is still under debate. We show that variations in mask efficacy can be explained by different regimes of virus abundance and related to population-average infection probability and reproduction number. For SARS-CoV-2, the viral load of infectious individuals can vary by orders of magnitude. We find that most environments and contacts are under conditions of low virus abundance (virus-limited) where surgical masks are effective at preventing virus spread. More advanced masks and other protective equipment are required in potentially virus-rich indoor environments including medical centers and hospitals. Masks are particularly effective in combination with other preventive measures like ventilation and distancing.

Author(s): Yafang Cheng, Nan Ma, Christian Witt, Steffen Rapp, Philipp S. Wild, Meinrat O. Andreae, Ulrich Pöschl, Hang Su

Publication Date: 20 May 2021

Publication Site: Science

Novel coronavirus circulated undetected months before first COVID-19 cases in Wuhan, China

Link: https://www.sciencedaily.com/releases/2021/03/210318185328.htm

Excerpt:

Using molecular dating tools and epidemiological simulations, researchers at University of California San Diego School of Medicine, with colleagues at the University of Arizona and Illumina, Inc., estimate that the SARS-CoV-2 virus was likely circulating undetected for at most two months before the first human cases of COVID-19 were described in Wuhan, China in late-December 2019.

Writing in the March 18, 2021 online issue of Science, they also note that their simulations suggest that the mutating virus dies out naturally more than three-quarters of the time without causing an epidemic.

Publication Date: 18 March 2021

Publication Site: Science Daily