The IBM Think 2018 Science Slam
5 technologies under development at the IBM Research labs.
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5 technologies under development at the IBM Research labs.
A proposed policy would bar the E.P.A. from considering research that doesn't release its raw data for review, blocking some significant work.
John Ioannidis discusses the potential effects on clinical research of a 2017 proposal to lower the default P value threshold for statistical significance from .05 to .005 as a means to reduce false-positive findings.
Making scientific publications free to read is a big change in a world dominated by subscription journals. Why is it so important that science publications become open access?
It seems that CRISPR technology may indeed be all that it promises.
Science-related Facebook pages draw millions of followers but 'news you can use' posts or ads outnumber ones about scientific discoveries.
How blockchain can be used to time-stamp data and authenticate research.
Findings suggest that while metrics are introduced to spur virtuous behaviours, when not properly designed they favour the usage of questionable practices.
To beat the stiff competition, highlight your skills in collaboration, teamwork and meeting deadlines.
According to a new survey, most Americans agree women are critical to scientific discovery.
Countries that are generally more egalitarian, or that have institutions more conductive to equality, have a lower gender performance gap in math, suggesting that this gap is partly shaped by more general societal inequalities.
The privacy backlash over Cambridge Analytica and Facebook may lead to explosive consequences for academics.
Tracking researchers and their outputs: new insights from ORCIDs.
If scientists avoid discussing the topic candidly, racist theories will fill the vacuum.
The breadth of social and moral questions raised requires a new architecture for democratic debate, insists Simon Burall.
Analyzing Open Access levels across all countries and fields of research with Google Scholar data.
Article underlines the risks of distributing excessive honors or resources to people who, at the end of the day, could have been simply luckier than others. Policy hypotheses are addressed to show the most efficient strategies for public funding of research in order to improve meritocracy, diversity and innovation.