Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
The big questions posed by our digital future sit at the intersection of technology and ethics. This is complex territory that requires input from experts in many different fields, including the social sciences, if we are to navigate it successfully. A new report makes an effort to give a first draft of that necessary input.
The success of academic research in reaching out beyond its own scientific community is a perennial concern, even more so following the rapid adoption of social media and the ability to easily transmit information to potentially millions of people. But is increased social media attention really indicative of “broader impact”? A new study suggests social media does not broaden scientific communication, but rather replicates and perpetuates pre-established disciplinary boundaries.
Increasingly, write Ashley Frawley and Daniel Nehring, the waning societal valuation of the arts and social sciences is seen in these terms—if their value to a company’s bottom line is at all in question, then their entire raison d’etre is in doubt. Reversing this trend may involve some unpalatable decisions.
Researchers and Authors from a variety of fields have an opportunity to share their innovations with a called for papers at the Technology, Mind and Society conference. Authors topics should include but are not limited to artificial intelligence, robotics, mobile devices, and more. Share your innovations here.
How will social science research and teaching evolve to meet the challenges and opportunities big data creates? How can we bring down barriers to make this new computational social science accessible for all social researchers? That was the subject of a panel discussion at last month’s ESRC Festival of Social Sciences 2016.
SAGE Publishing surveyed social scientists around the world to learn more about who engages in research using ‘big data,’ and what challenges they face as well as the barriers facing those who are interested in conducting computational social science going forward.
A new survey shoots down the idea that early-career researchers aresomehow more likely to be digital natives and therefore more apt to conduct computational social science than those whose PhDs were issued more than a decade ago.
Recent findings suggest interdisciplinary research is less likely to be funded than discipline-based research proposals, reports Gabriele Bammer, who argues different review processes may well be required to do justice to these different kinds of interdisciplinarity.