In this post, Lutz Bornmann and Robin Haunschild present evidence from their recent study examining the relationship of peer review, altmetrics, and bibliometric analyses with societal and academic impact. Drawing on evidence from REF2014 submissions, they argue altmetrics may provide evidence for wider non-academic debates, but correlate poorly with peer review assessments of societal impact.
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.
Princeton economist Alan Krueger, who The New York Times described as “help[ing] lead economics toward a more scientific approach to research and policymaking” in his repeated stints in the public sector, has died at age 58.
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.
The U.S. military’s innovation incubator, the Defense Advanced Research Projects Agency, has signed the Center for Open Science to create a research claims database as DARPA’s first step to assign a ‘credibility score’ to social and behavioral science research.
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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