Social, Behavioral Scientists Eligible to Apply for NSF S-STEM Grants
Solicitations are now being sought for the National Science Foundation’s Scholarships in Science, Technology, Engineering, and Mathematics program, and in an unheralded […]
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.
Sorting music by genre often says more about the sorter than it does about the tune. A new system developed by an interdisciplinary team has come up with a three-dimension test for determining what someone will like apart from the label.
Many academics still operate under the flawed logic that good writing must be complex writing (or vice versa).