A very strong overall REF performance signifies a large concentration of outstanding work. It is an unambiguous plus. All the same, precise league table positions in the REF, indicator by indicator, should be taken with a grain of salt.
Measuring impact was a key feature of the just-released Research Education Framework in the UK. But ‘impact’ isn’t as fair a measurement as we could hope.
Consciously we might be talking about the impending sustainability crisis, but unconsciously we find ways to actually maintain the status quo.
In a conclusion to his two earlier articles on post-publication peer review, Andy Tattersall argues that while new ways to measure scholarly value may not be perfect yet, it’s still high time to start introducing them more widely.
Behavioral scientists have seized on social media and their massive data sets as a way to quickly and cheaply figure out what people are thinking and doing. But some of those tweets and thumbs ups can be misleading.
It’s not necessarily the type of peer review that makes an academic article scholarly, argues Christoper Sampson, but the transparency of how the conclusions were reached.
Although universities and funding bodies pay lip-service to the importance of multi-discipline research, a physicist and an anthropologist argue there is a long way to go before the reality matches the rhetoric.
Looking specifically at Australia, the author of the book on research integrity wonders how rampant plagiarizing and fabricating may be among researchers.
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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