The ‘replication crisis’ certainly is uncomfortable for many scientists whose work gets undercut, and the rate of failures may currently be unacceptably high. But psychologist and statistician Eric Loken argues that confronting the replication crisis is good for science as a whole.
On April 4 winners were announced in the year’s ESRC Writing Competition, in which PhD students who have received money from the ESRC write short essays about how their research leads too better lives. Today we posting the shortlisted and winning essays with Bobby Beaumont, a PhD research at the University of Birmingham, and his essay titled “Playtime in the camps.” Beaumont, whose research focuses on how circus, play and arts-based interventions play out in refugee camps and temporary settlements.
To end his trilogy of articles on the research metric system (and Google Scholar in particular), Louis Coiffait explores what improvements could be made.
In his second article about the citation system and Google Scholar, Louis Coiffait looks at some of the current criticisms.
Louis Coiffait’s third article in his series on impact looks at the system of citation metrics, in particular Google Scholar.
In his second article in a series on impact, Louis Coiffait looks at how REF and KEF treat impact in the UK.
David Canter considers the emotional and physical challenges of field research and the limits of conventional ethical approval.
In honor of AERA Open being named “Best New Journal in Social Sciences” in the 2019 Publishers Awards for Professional and Scholarly Excellence, or PROSE, Awards, we’re highlighting three of the compelling studies — including an assessment of Common Core — that appeared in the journal last year.
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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