If we can model the diffusion of drug markets, can we also begin to model the effects of these markets on social problems, including child abuse and neglect?
Although by no means a household word, “drug courts” have been among the most studied criminal justice interventions of the past two decades. So what are these courts, and why do they matter?
What can psychology tell us about morality? Jonathan Haidt, author of The Righteous Mind, discusses the place of rationality in our moral judgements in this episode of the Social Science Bites podcast.
With poverty now rising to levels not seen in a generation, many scholars are revisiting the still controversial theories connecting culture to class. Currently the great recession is accelerating the outsourcing and deindustrialization that has been decimating the economic well-being of all Americans for almost a generation.
Like many academics, I was quite oblivious to the virtues of using digital social media for professional purposes for rather a long time. Then one day earlier this year the scales fell from my eyes.
Faith in the wisdom of the affluent to guide public policy has been sorely tested by the enormous costs in money and human suffering resulting from the Great Recession. My data cast further doubt on the notion that representational inequality arises from the greater knowledge or better judgment of those with higher incomes.
If policy influence becomes so unequal that the wishes of most citizens are ignored most of the time, a country’s claim to be a democracy is cast in doubt. And that is exactly what I found in my analyses of the link between public preferences and government policy in the U.S.
An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. The idea of an autonomous vehicle – i.e., a self-driving car – isn’t particularly new. Leonardo da Vinci had some ideas he […] Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability. If schools provide the proper support and resources, they will help educators move from anxiety to empowerment when integrating AI into the classroom. An article in the journal Psychological Science, “The New Statistics: Why and How” by La Trobe University’s Geoff Cumming, has proved remarkably popular in the years since and is the third-most cited paper published in a Sage journal in 2013. By carefully interrogating the system of economic incentives underlying innovations and how technologies are monetized in practice, we can generate a better understanding of the risks, both economic and technological, nurtured by a market’s structure.
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Impact
Paper Opening Science to the New Statistics Proves Its Import a Decade Later
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A Milestone Dataset on the Road to Self-Driving Cars Proves Highly Popular
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Why Social Science? Because It Can Help Contribute to AI That Benefits Society
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Innovation
AI Upskilling Can and Should Empower Business School Faculty
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Paper Opening Science to the New Statistics Proves Its Import a Decade Later
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To Better Forecast AI, We Need to Learn Where Its Money Is Pointing
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