Scientists in the UK are facing great uncertainty ahead of the Conservative government’s comprehensive spending review on November 25. Not only is funding for UK research under threat, the government is believed to be planning on culling many of the agencies that fund research in an effort to make savings.
The White House’s Social and Behavioral Sciences Team has done an impressive job so far in using small, inexpensive changes to make federal policies better serve citizens.
Academia has long recognized that wicked problems require cross-disciplinary research approaches, yet Australia’s Science and Research Priorities enthrall mainly STEM researchers. This divide puts academia back into silos: those on the sunny side of funding decisions and those under a constant rain cloud.
A sense of crisis is developing in economics after two Federal Reserve economists came to the alarming conclusion that economics research is usually not replicable.
Individual academics and institutions have driven the open access process in South Africa. This bottom-up approach has its merits, argue John Butler-Adam, Susan Veldsman and Ina Smith, but a push from the top is needed to ensure that the nation stays on track.
Angus Deaton’s work is a model of what applied economics ought to be, says Ian Preston. No award the Nobel committee has made has pleased the author as much, for the recognition it gives both Deaton and the type of work he does.
New research looking at international relations courses finds that male professors assign more readings by males — and much of it their own work — than do female professors. And this does a disservice to students, argues Jeff Colgan.
Angus Deaton called for the applied microeconomists not to abandon economic theory in favor of experiments but instead to think more deeply about the consequences of economic theories and how they can be tested using real-world data. This is the approach he has followed throughout his career and what has led to him win a Nobel Prize.
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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