Looking at the entirety of what occurred on Jan. 6, 2021, it’s clear that there was both legitimate protest and illegitimate political violence. When political violence replaces political discourse, and when political leaders refuse to play by the democratic rules of the game, democracies weaken, and may even die.
The idea of walking a mile in someone else’s shoes is often trotted out as a metaphor for understanding empathy. The act […]
The work of Christopher Boafo, Richard Afriyie Owusu and Karine Guiderdoni-Jourdain offers an understanding of the internationalization of informal smaller firms in two major enterprise clusters in a sub-Saharan African economy through a network perspective.
Across studies in research described here, participants were consistently more likely to describe a discipline as a “soft science” when they’d been led to believe that proportionally more women worked in the field.
Defying the Third Reich’s attempt to wipe Jewish culture off the map, ‘yizker bikher’ memorialize writers’ hometowns, commemorate murdered loved ones and pass on collective memory.
The incoming president of the Linguistic Society of America reflects on his own primary education and how public education across the nation tends to perpetuate the class structure.
In this podcast, Northwestern University’s Joel , Mokyr tells interviewer Dave Edmonds, “I use economics to understand history, and I use history to understand economics.”
January 6 provided both a natural experiment for current research and a chance to see if past predictions might play out as expected. This collection of academic commentary on the attack should add ore light than heat to the discussion.
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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