The aim of peer review for research grants and academic hiring boards is to provide expert independent judgement on the quality of research proposals and candidates. Based on findings from a recent survey, Liv Langfeldt, Dag W. Aksnes and Ingvild Reymert, find metrics continue to play a significant role in shaping these decisions, especially for reviewers who are highly ranked themselves.
“Make sure you’re not only citing white guys!” That was the unmistakable takeaway Wednesday as Deen Freelon discussed his research into citation inequities in the social sciences.
In this post, Jorrit Smit and Laurens Hessels, draw on a recent analysis of different impact evaluation tools to explore how they constitute and direct conceptions of research impact. Finding a common separation between evaluation focused on scientific and societal impact, they suggest bridging this divide may prove beneficial to producing research that has public value, rather than research that achieves particular metrics.
Lizzie Gadd argues that any commitment to responsible research assessment needs to include action on global university rankings. She argues universities should unite around the principle of being ‘much more than their rank.’
In academia gender bias is often figured in terms of research productivity and differentials surrounding the academic work of men and women. Alesia Zuccala and Gemma Derrick posit that this outlook inherently ignores a wider set of variables impacting women, and that attempts to achieve cultural change in academia can only be realised, by acknowledging variables that are ultimately difficult to quantify.
Although experts in bibliometry have pointed out the dubious nature of the h-index, most researchers do not always seem to understand that its properties make it a far-from-valid index to seriously and ethically assess the quality or scientific impact of publications.
This year, SAGE will analyze citation data for articles published in SAGE journals in 2009 to find out the most highly cited through the end of 2019. In May, we will present our inaugural 10-Year Impact Awards to the authors of the three papers with the most citations and share helpful insights we learned.
Using bibliometrics to measure and assess researchers has become increasingly common, but does implementing these policies therefore devalue the metrics they are based on? Here researchers present evidence from a study of Italian researchers revealing how the introduction of bibliometric targets has changed the way Italian academics cite and use the work of their colleagues.
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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