Gendered language shapes how we think about the appropriate roles for men and women, especially when we are children and just beginning to form our understanding of the world. That might not sound like a problem, but it can reinforce stereotypes we are trying to tear down.
Social Science Space is presenting 10 shortlisted essays written by young social scientists in an ESRC competition looking at how social science might change the world in the next half century. This week we present Kristin Hübner’s discussion on how feminist theory may erase socially constructed ideas about what gender is and how it functions.
Gender inequality studies have long focused on identifying the material disparities between men and women in the workforce, including researching the gender […]
A recent data-mapping project reveals that women professors are consistently more likely to be described as feisty, bossy, aggressive, shrill, condescending, rude — and nice.
Cliodhna O’Connor describes how traditional gender stereotypes sometimes get projected onto scientific information and its subsequent reporting.
This piece was originally posted on International Women’s Day at the Management Ink blog. It is re-posted here with permission. *** It was International Women’s […]
In firms with more female managers, are newly created jobs more likely to be filled by men or by women? Lisa E. […]
Kathryn Thory of Strathclyde University Business School in Glasgow, Scotland published “A Gendered Analysis of Emotional Intelligence in the Workplace: Issues and […]
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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