The study of stigma, is, says Michèle Lamont, a “booming field.” That assessment can be both sad and hopeful, and in this Social Science Bites podcast the Harvard sociologist explains stigma’s manifestations and ways to combat it, as well as what it takes a for a researcher to actually study stigma.
“The brain is an association-seeking machine,” Harvard social psychologist Mahzarin R. Banaji tells interviewer David Edmonds in this Social Science Bites podcast. “It puts things together that repeatedly get paired in our experience. Implicit bias is just another word for capturing what those are when they concern social groups.
Philosopher Tom Chatfield’s media presence – which is substantial – is often directly linked to his writings on technology. But his new book is on critical thinking, and while that involves humanity’s oldest computer, the brain, Chatfield explains in this Social Science Bites podcast that new digital realities interact with old human biases.
Thinking is hard, and most of the time we rely on simple psychological mechanisms that can lead us astray. In this episode of the Social Science Bites podcast, the Nobel-prizewinning psychologist Daniel Kahneman, author of Thinking, Fast and Slow, talks to Nigel Warburton about biases in our reasoning.
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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