If the funding allocated to universities on the basis of the REF is correlated to the amount of grant income universities already receive, what is the point of the output assessment process? Jon Clayden suggests this apparent double-counting exercise is not the best we can do.
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.
Jane Tinkler argues that if institutions like HEFCE specify a narrow set of impact metrics, more harm than good would come to universities forced to limit their understanding of how research is making a difference. But, she adds, qualitative and quantitative indicators continue to be an incredible source of learning for how impact works.
A remarkably prescient special issue of the journal ‘International Political Science Review’ examines Euroscepticism’s migration ‘from the margins to the mainstream.’ Social Science Space talks to one of the issue’s guest editors.
In February officials with the National Science Foundation, the National Institute of Standards and Technology, and the National Science Board trooped up […]
Bully for the researchers who have developed a vaccine can build resistance against some instances of malaria, says Robert Dingwall. But before the WHO recommends for its adoption, he suggests a harder look at user-centered design and cost-benefit analysis may be in order.
Misconceptions about how screening works, its limitations and possible harms are still being perpetuated by media stories and high profile cases, such […]
A new report from the World Health Organization on the response to the African Ebola outbreak backs up what our Robert Dingwall has been writing all along — by downplaying social science lives have been lost. The question now is whether a new WHO can improve.
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.
EXPLORE
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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