Robin Haunschild and Lutz Bornmann discuss their recent findings on how retracted papers were talked about on the social media platform Twitter and how this can be mapped onto the eventual retraction notices of these articles.
Three key positions in the portion of the National Science Foundation focusing on social science will soon be open, and the foundation – the largest funder of academic social science in the United States — is conducting a national search to fill these key jobs.
Steven Lubet set out to investigate whether ethnography’s characteristic reliance on unverified accounts may sometimes produce misinformation. He argues that In any other academic discipline, his findings would have provoked less umbrage and more reinvestigation.
Whether a crisis impacts retailers, banks, manufacturers, miners, construction, traders or tourism, says David Beirman, the management of recovery operates under a surprisingly similar set of rules.
Practicing behavioral scientist Preeti Kotamarthi finds it reassuring to know that this subject, which literally burst on the scene only a few years ago, has gained acceptance around the world, and students brave enough to study it now have a career to look forward to.
Shamser Sinha draws on his experience in qualitative research as well as playwriting to reflect on how traditional social science research methods can learn from creative fields to better contextualize findings and recognize the humanity behind them.
The authors of a new book on community-led research ask how to move research ‘done to’ and ‘on people’ towards ‘for and with people.’ It features both community and academic voices and reflects on research that foregrounds non-academic priorities.
In this hour-long webinar, a funder, editor, and publisher will share what they are doing to make a more inclusive research environment, challenges they face along the way, and ideas for future improvement.
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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