Jane Tinkler breaks down the key findings from the UK government report on the impact of research council funding over the last year. With income cuts playing a significant role, the number of principal investigators and research fellowships with research council funding have both gone down–even as the remainder’s output has gone up.
A survey of White House advisers from three administrations reveals that what they want from researchers is less options than opinions, and less journal citations than citations by journalists.
While academic social science is extremely effective at generating public value, it is less adept at communicating this value. Sam Baars believes researchers should reflect on the ways in which social value is created not just from the findings of our research, but also the way in which it is conducted. He pushes for the adoption of a more ‘embedded’ approach to research which involves working more closely with the public, and public institutions, at a local level.
With a little more wiggle room in the U.S. budget this year, proponents of strong federal support for R&D and higher education are trying to get their message out about America’s lagging innovation. Social science and the STEM fields are making common cause in the campaign.
An informative title for an article or chapter maximizes the likelihood that your audience correctly remembers enough about your arguments to re-discover what they are looking for. Without embedded cues, your work will sit undisturbed on other scholars’ PDF libraries, or languish unread among hundreds of millions of other documents on the Web. That must be what what we want, based on on what we do.
As it is released in North America, a book on the impact of social science in Britain suggests guidance for raising the disciplines’ profiles in the U.S. and beyond.
A new project from the British Academy sets down the calculator in the latest attempt to tot up the value of the social sciences and humanities.
Impact is all the rage right now, but what happens when you’re finally given a path to a bully pulpit? Testimony is only the tip of the iceberg – there’s much more opportunity if you look a little deeper.
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
READ MORE
A Milestone Dataset on the Road to Self-Driving Cars Proves Highly Popular
READ MORE
Why Social Science? Because It Can Help Contribute to AI That Benefits Society
READ MORE
Innovation
AI Upskilling Can and Should Empower Business School Faculty
READ MORE
Paper Opening Science to the New Statistics Proves Its Import a Decade Later
READ MORE
To Better Forecast AI, We Need to Learn Where Its Money Is Pointing
READ MORE
