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 […]
The arrival of a report calling for the British government to better support social science has raised questions about the role, responses and responsibilities of a ‘public sociology.’
The former deputy director of the Bureau of Economic Analysis has been named to head the federal organization that produces the benchmark […]
A much-shared screed against various types of science –including, predictably, most social science–has James Dyke scratching his head and quoting Wolfgang Pauli: ‘This isn’t right. This isn’t even wrong.’
After Big Data, one of the most controversial topics in statistics workshop is the problem of reproducibility in scientific research.
In the first of a series of excerpts from a just released report summarizing 2013’s International Year of Statistics’ London conference, we look at one of the down sides of Big Data.
Robert Dingwall argues that numeracy and and a grasp of quantitative method of course have a place in the education of a social scientist, but they shouldn’t be the only skills in the graduate’s quiver. How about he ability to walk around, for one?
Many social scientists find themselves members of a cult of quantification, argues Robert Dingwall, in love with numbers for their own sake even when those numbers produce no useful knowledge.
The author of a new introduction to statistics textbook was bothered that even among students who but their required books they rarely crack them open. So he decided to give them an incentive.