The relationship between citizens and their criminal justice systems comes down to just that – relationships. And those relations generally start with […]
Economist Daron Acemoglu, professor at the Massachusetts Institute of Technology, discusses the history of technological revolutions in the last millennium and what they may tell us about artificial intelligence today.
How much of our understanding of the world comes built-in? More than you’d expect. That’s the conclusion that Iris Berent, a professor of psychology at Northeastern University and head of the Language and Mind Lab there, has come to after years of research
Megan Stevenson’s work finds little success in applying reforms derived from certain types of social science research on criminal justice.
Opinions on immigration are not set in stone, suggests Rob Ford – but they may be set in generations. Zeroing in on the experience of the United Kingdom since the end of World War II, Ford – a political scientist at the University of Manchester – explains how this generation’s ‘other’ becomes the next generation’s ‘neighbor.’
Economist Tavneet Suri discusses fieldwork she’s done in handing our cash directly to Kenyans in poor and rural parts of Kenya, and what the generally good news from that work may herald more broadly.
In this Social Science Bites podcast, Edmans, a professor of finance at London Business School and author of the just-released “May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases – And What We Can Do About It,” reviews the persistence of confirmation bias even among professors of finance.
Caring makes us human. This is one of the strongest ideas one could infer from the work that developmental psychologist Alison Gopnik is discovering in her work on child development, cognitive economics and caregiving.
Michael Burawoy, whose embrace of public sociology and the public at work lead him to describe his influential academic niche as “industrial […] To address research credibility issues, we must reform the role of metrics, rankings, and incentives in universities. 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. Decisions taken now around how generative AI is used by academics and universities will shape the future of research. Mark Carrigan argues whilst optimistic scenarios are possible, generative AI stands ready to feed into an existing productivity oriented framing of academic work. 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 […]
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Impact
Michael Burawoy, 1947-2025: Patron Saint of Public Sociology
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How Research Credibility Suffers in a Quantified Society
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Young Scholars Can’t Take the Field in Game of Academic Metrics
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Innovation
AI is Here, But Is It Here to Help Us or Replace Us?
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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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