Lessons will be learned from this pandemic and it is right that there should be inquiries to spell them out. It will not, however, be helpful to see this as a partisan exercise in blaming individuals for acting within the limits of what was possible in systems that others had designed for very different purposes.
Gone are the days when science journalism was like sports journalism, where the action was watched from the press box and simply conveyed. News outlets have stepped onto the field. They are doing the science themselves.
Exactly 30 years ago, Robin Dunbar was pondering a graph of primate group sizes plotted against the size of their brains: the larger the brain, the larger the group size. I was curious to know what group size this relationship might predict for humans. The number his calculations gave was 150.
Nicholas Carnes, a Duke University social scientist and scholar of public policy, is one of two recipients this year of the National Science Foundation’s Waterman Award.
Eleanor Bernert Sheldon, a pioneer in the use of social indicators as an important tool of social science, died on May 8 at the age of 101.
Ron Inglehart, a political scientist whose work on surveying values around the world set new and higher bars on what such studies could achieve, has died at age 86.
When readers — even academic readers — do not understand an article, they are unlikely to read it, much less absorb it, share it and be influenced by its ideas.
In this montage drawn from the last two years of Social Science Bites podcasts, interviewer David Edmonds poses the same question to 25 notable social scientists: Whose work most influenced your own?
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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