After collecting reflections on their PhD journey from 28 doctoral scholars, Rhodes University’s Sioux McKenna distilled some of their collected wisdom into five ideas that might make the uphill effort to earn a doctorate less of of a Sisyphean task.
A small but vocal contingent of researchers has maintained that many, perhaps most, published studies are wrong. But how bad is this problem, exactly? And what features make a study more or less likely to turn out to be true? A team of 270 researchers asked the question of published psychology studies.
The professor whose use of the ‘prisoner’s dilemma’ in his class went viral here explains how that same piece of game theory can help bridge liberal and conservative differences.
The printed book, though still part of the academic library ensemble, is being relegated to the role of supporting player rather than the lead actor, argues a University of California librarian.
Math can be immoral. too. Algorithms rarely come equipped with an explanation for why they behave the way they do, notes mathematician Jeremy Kun, and the easy (and dangerous) course of action is not to ask questions.
No one ever assumed that everything in print was trustworthy, says Virginia Barbour, and neither should that be the case for open access content. Content is what matters – whether delivered by open access, subscription publishing, or a printed document.
‘Interdisciplinarity lies not above the academy, but in its very foundations,’ say the co-authors of a new report looking at this issue.
Objective outsiders focused on the purse or knowledgeable insiders focused on the scholarship — who should decide the best way to derive the productivity and innovations sought from Britain’s Research Councils?
An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. The idea of an autonomous vehicle – i.e., a self-driving car – isn’t particularly new. Leonardo da Vinci had some ideas he […] Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability. If schools provide the proper support and resources, they will help educators move from anxiety to empowerment when integrating AI into the classroom. An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. By carefully interrogating the system of economic incentives underlying innovations and how technologies are monetized in practice, we can generate a better understanding of the risks, both economic and technological, nurtured by a market’s structure.
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Impact
Paper Opening Science to the New Statistics Proves Its Import a Decade Later
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A Milestone Dataset on the Road to Self-Driving Cars Proves Highly Popular
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Why Social Science? Because It Can Help Contribute to AI That Benefits Society
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Innovation
AI Upskilling Can and Should Empower Business School Faculty
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Paper Opening Science to the New Statistics Proves Its Import a Decade Later
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To Better Forecast AI, We Need to Learn Where Its Money Is Pointing
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