Without research in social, organizational, and behavioral sciences, argues John Haaga, as serious as the investment in biomedical research, the United States may be no better off when the next acute crisis hits.
The UK government has regularly been denounced by many in the public health community for its absence of strategy in responding to the COVID-19 pandemic. Much of this criticism, however, reflects a simple dislike of the strategy or of the government that has authored it. On closer inspection, the UK government does have an intellectually coherent position – just one that is different from that preferred by many public health specialists and activists, and, to some extent, the biomedical community in general.
It’s tempting to blame bots and trolls for spreading misinformation. But really it’s our own fault for sharing so widely. Research has confirmed that lies spread faster than truth – mainly because lies are not bound to the same rules as truth.
here’s a fact Cynthia Golembeski learned while researching criminal justice reform and teaching college classes in prisons: the reason the transition to life outside the corrections system is so hard is that there are more than 44,000 indirect consequences of a criminal conviction.
Six months into this pandemic, we have learned that it is not going to wipe out human life on this planet. This means, argues Robert Dingwall, that it is time for a public policy reset.
Are we on the cusp of a vibrant social movement that will produce major transformations in our practices and policies? Or are we fated to see the communal expressions of grief and calls for change dissolve into contentious policy debates that may result in relatively modest reforms unequal to the fervent hopes now spinning in the streets?
Noting the value of straight and cisgender allies in LGBTQ inclusion effort, David Glasgow describes his NYU center’s model for a three-stage process of developing allyship.
Editor’s Note: If you’re curious about the ways in which data visualization and graph use can generate impact with regard to the […]
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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