Shamser Sinha draws on his experience in qualitative research as well as playwriting to reflect on how traditional social science research methods can learn from creative fields to better contextualize findings and recognize the humanity behind them.
The recent revelation that Cambridge Analytica was able to acquire the Facebook data led to a surge of interest and questions around what companies do with people’s data. Amidst all of this, little attention has been paid to the feelings of those whose data are used, shared, and acted upon.
Reviewer Sarah Lewthwaite finds that in ‘100 Activities for Teaching Research Methods,’ Catherine Dawson offers an important and welcome addition to the emerging literature on the practical aspects of teaching research methods.
Two of the authors of case study on using Twitter for research describe the ethical challenges of working in a rapidly changing landscape, why it’s important to be able to visualize what your analysis is finding, and why it’s important not to let your analysis be derived from some sort of ‘black box’ that you as the researcher don’t fully understand.
Here’s an idea: social scientists should reflect critically on the prevailing concepts and categories before launching into empirical work with an existing framework. In this episode of the Social Science Bites podcast, urban sociologist Saskia Sassen discusses that concept, called “before method,” with Nigel Warburton.
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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