Many research evaluation systems continue to take a narrow view of excellence, judging the value of work based on the journal in which it is published. Recent research by Diego Chavarro, Ismael Ràfols and colleagues shows how such systems underestimate and prove detrimental to the production of research relevant to important social, economic, and environmental issues and reflect the biases of journal citation databases which focus heavily on English-language research from the US and Western Europe.
The founder of StateReviewer outlines a future where humans are written out of the publication process by artificial intelligence. But is the goal of eradicating bias and other malignancies potentially opening the door to a new set of ills?
University librarian Jeffrey Beall used to write a blog that identified by name what he saw as predatory publishers of academic journals. Since he suddenly shut down the site earlier this month, will –or even should — someone else pick up the baton?
A publication strategy should include carefully-defined goals, a purposeful timeline, and actionable steps for proposing and writing the kinds of pieces large or small that allow others to access what we’ve learned, produce impact, and propel our careers forward.
Last month the webinar “Battling Bannings- Authors discuss intellectual freedom and the freedom to read” saw Index on Censorship’s Vicky Baker moderate a discussion between historian Wendy Doniger and children’s book authors Christine Baldacchino and Jessica Herthel.
As part of our series on academic freedom, Dylan Kerrigan discusses the wider implications of the financialisation of academic knowledge production by considering academic book publishing. He asks if the success of academic books is best measured by economic or non-economic criteria, by its impact on the business sector or its veracity, by ideological myth-making or evidence.
A culture of bad science can evolve as a result of institutional incentives that prioritize simple quantitative metrics as measures of success, argues Paul Smaldino. But, he adds, not all is lost as new initiatives such as open data and replication are making a positive difference.
Novel breakthroughs in research can have a dramatic impact on scientific discovery but face some distinct disadvantages in getting wider recognition and are often cited as a plus in getting published. But new findings suggest an inherent bias in bibliometric measures against novel research.
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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