In academic institutions that value hierarchies and compliance and seek to understand scholarship in terms of its economic value, argues our Daniel Nehring, there is little space for a discipline that aims to critically interrogate the intersections of structure and agency and the social production of inequalities.
The founder of StateReviewer outlines a future where humans are written out of the publication process by artificial intelligence. But is the goal of eradicating bias and other malignancies potentially opening the door to a new set of ills?
The only way out of the current state of tension for Indian universities, argues political scientists Aftab Alam, is for the institutions to learn to tolerate everything except intolerance.
A survey by Nature found that 52 percent of researchers believed there was a ‘significant reproducibility crisis’ and 38 percent said there was a ‘slight crisis.’ Here, three experts give their views on the issue.
Sociology today, argues our Daniek Nehring, is defined by a fundamental contradiction between its everyday labor practices and its imaginary ethos.
With science on the defensive for the time being, and the the fear of retribution palpable, the long-standing question of whether scientists should ever become advocates has come into sharper focus.
What might Donald Trump’s ban on immigration from seven countries mean for the U.S. role in international education? And will it undermine the use of international higher education as a soft power tool for the United States? A scholar of international education gives his view.
The turn-of-the-millennium mantra of ‘Don’t sweat the small stuff’ is exactly the wrong message for ensuring that American students both get to college and thrive once there, says a leading educational researcher.
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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