Plague was the concern of all of us…. Thus, for example, a feeling normally as individual as the ache of separation from […]
We are frequently told that COVID-19 is the greatest challenge of our generation, and perhaps the largest global crisis since World War II. So, what do we know about how people behave in crises? And how can we apply that understanding to manage the current pandemic?
The way we are treated by the police tells us where we stand in society; if this treatment confirms the broader injustices to which our group has been subjected, then everything falls apart.
Pandemics inspire the most remarkable acts of unity and compassion (Solnit, 2009). They also lead to appalling acts of division and brutality […]
It is not surprising that in the midst of the COVID-19 crisis, aside from infection fears, gatherings of people on beaches, public transport and in parks were met with concern and even alarm. Crowds are associated with trouble. But crowds can be both destructive and constructive forces.
In an excerpt from Together Apart, three officials with Public Health England argue that he consequences of shared identity, which have been shown to be so important in building an effective community response to the pandemic — the mutual trust, influence and support — are equally important when it comes to community–authority relations.
While the pandemic is different other emergencies, there are important similarities: there is a mortal threat which can create fear; there is not enough protection for everyone under threat; and human action can mitigate (or exacerbate) that threat.
Countries across the world have been turning to behavioral science in the fight against coronavirus. In May, The New Scientist proclaimed that ‘behavioral science is […]
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.
EXPLORE
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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