Why Scientific Consensus Is Worth Taking Seriously
Yes, collective missteps happen. But if anything, history shows how hard it is to get scientists to agree in the first place.
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Yes, collective missteps happen. But if anything, history shows how hard it is to get scientists to agree in the first place.
Papers need to include fewer claims and more proof to make the scientific literature more reliable.
The blockchain technology that underpins cryptographic currencies can support sustainability by building trust and avoiding corruption, explains Guillaume Chapron.
The role and the impact of citizen science in today’s world.
Is there an alternative to the standard academic career path that would actually make research work better?
Maybe Newtonian physics doesn’t need dark matter to work.
Independent professionals advance science in ways faculty-run labs cannot, and such positions keep talented people in research, argues Steven Hyman.
ResearchGate and similar services represent a “gamification” of research, drawing on features usually associated with online games, like rewards, rankings and levels.
Presenting science as a battle for truth against ignorance is an unhelpful exaggeration.
Without data on how artificial intelligence is affecting jobs, policymakers will fly blind into the next industrial revolution, warn Tom Mitchell and Erik Brynjolfsson.
We suggest a centralized facility for submitting to journals—one that would benefit scientists and not only publishers.
The STM Association Future Labs Committee explores the technology trends that will impact scholarly publishing by 2021.
Although automated publishing would allow researchers to share their findings faster, while also removing human bias, there are obvious ethical dilemmas related to this dehumanisation of the process.
Privacy has not always been seen as an asset.
As technology renders jobs obsolete, what will keep us busy? Sapiens author Yuval Noah Harari examines ‘the useless class’ and a new quest for purpose
Rapid developments in artificial intelligence and machine learning have enabled scientific racism to enter a new era, in which machine-learned models embed biases present in the human behavior used for model development.
We all love science when it’s making life better, longer and easier. It’s a much harder sell when it points to inconvenient truths about our way of life
"When someone is honestly 55 percent right, that’s very good and there’s no use wrangling. And if someone is 60 percent right, it’s wonderful, it’s great luck, and let him thank God."
Science panels still rely on poor proxies to judge quality and impact.
A culture that normalizes hypercritical peers is a problem for scientists who want to reach beyond academe.
The editors of scholarly communications are under considerable pressure as recent trends in Gold Open Access characterize them as a luxury of the past.
In Canada, as in many other countries, there is an expectation that universities, the producers of the research, will advance innovation by starting up companies and by filing and licensing patents.
We can overcome the tyranny of inaccessible science hardware by building a movement for equity in science.
Progress in the sciences can only move as fast as humans can think—outsourcing to A.I. could change that.
Computer science departments need to teach coders more than just how to code.
Take proposals that should never have been submitted out of the figures, and the chances of winning funding look a lot brighter.