'Elegant' Catalysts That Tell Left from Right Scoop Chemistry Nobel
Benjamin List and David MacMillan share the award for developing cheap, environmentally friendly organic catalysts.
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A Model for Diversifying Faculty Recruitment
When two junior researchers joined a search committee, they came up with a way to put equity and inclusion centre stage.
COVID's Lessons for Climate, Sustainability and More from Our World in Data
COVID's Lessons for Climate, Sustainability and More from Our World in Data
International agencies need the mandate, funds and expertise to connect information - otherwise pandemics, hunger and unsustainability will go unsolved.
New Rules Will Make UK Gene-edited Crop Research Easier
The government's decision to ease requirements will lower the cost of field trials, but does not yet address the path to market.
China's Clampdown on Fake-paper Factories Picks Up Speed
As part of a misconduct crackdown, Chinese funders are penalizing researchers who commission sham journal articles from 'paper mills', but some say the measures still don't go far enough.
Beware Survivorship Bias in Advice on Science Careers
For objective careers advice, talk to those who left science as well as those who stayed.
How to Shrink the Gap That Holds Black Scientists Back
As UK universities prepare to welcome new undergraduates, a study suggests ways to level the playing field between white and minority-ethnic science students.
What a Personal Saga Reveals About Scientists' Lives - and About Science Itself
Two scientists allowed Nature to chronicle their lives for three years. Their story speaks to the epic professional and personal struggles involved in establishing a career in research.
How Latin American Researchers Suffer in Science
It's time to tackle the cumulative barriers and biases faced by scientists who aren't from wealthy countries.
Closest Known Relatives of Virus Found in Laos
Studies of bats in China and Laos show southeast Asia is a hotspot for potentially dangerous viruses similar to SARS-CoV-2.
Stop Undervaluing Smaller Institutions
Far from being inferior, smaller universities can outstrip elite ones in research training and promoting inclusivity.
The Tangled History of MRNA Vaccines
Hundreds of scientists had worked on mRNA vaccines for decades before the coronavirus pandemic brought a breakthrough.
Expect Less of the Scientific Paper
Make science more reliable by placing the burden of replicability on the community, not on individual laboratories.
Politics Will Be Poorer Without Angela Merkel's Scientific Approach
Biology Must Generate Ideas As Well As Data
Data should be a means to knowledge, not an end in themselves.
Preprint Advocates Must Also Fight for Research Integrity
Efforts to share research with the public must include mechanisms to prevent harm resulting from low-quality work.
Replication Studies for Undergraduate Theses to Improve Science and Education | FULL TEXT
Replication Studies for Undergraduate Theses to Improve Science and Education | FULL TEXT
FULL TEXT. Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education, argues Daniel Quintana.
Replication Studies for Undergraduate Theses to Improve Science and Education
Replication Studies for Undergraduate Theses to Improve Science and Education
Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education.
Automated Detection of Poor-quality Data: Case Studies in Healthcare
The detection and removal of poor-quality data in a training set is crucial to achieve high-performing AI models. In healthcare, data can be inherently poor-quality due to uncertainty or subjectivity, but as is often the case, the requirement for data privacy restricts AI practitioners from accessing raw training data, meaning manual visual verification of private patient data is not possible. Here we describe a novel method for automated identification of poor-quality data, called Untrainable Data Cleansing. This method is shown to have numerous benefits including protection of private patient data; improvement in AI generalizability; reduction in time, cost, and data needed for training; all while offering a truer reporting of AI performance itself. Additionally, results show that Untrainable Data Cleansing could be useful as a triage tool to identify difficult clinical cases that may warrant in-depth evaluation or additional testing to support a diagnosis.
Face Masks for COVID Pass Their Largest Test Yet
A rigorous study finds that surgical masks are highly protective, but cloth masks fall short.
Indonesia's Science Super-Agency Must Earn Researchers' Trust
The drastic shake-up of the country's science system is intended to boost innovation, but there are concerns about political interference in the new centralized agency.
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