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 […]
Shaken and Stirred: Christakis on Re-ordering Social Science
With one foot firmly planted in natural science and one in social science, Yale’s Nicholas A. Christakis looks at the landscape of the latter and wonders why it’s changed so little in the past century. Is it time for a common-sense, and yet radical, reshuffling of the institutional frameworks that we tend to accept as permanent?
Locating International Relations on the Social Science Map
A just-published lecture on international relations as a social science suggests that no discipline is an island.
A Pioneering Behavioral Science Think Tank at the Crossroads
Social Science Space talks to Margaret Levi about her goals for re-imagining the Center for Advanced Study in the Behavioral Sciences.
Global Problems Take a Village (of Disciplines)
The wicked problems of today’s world cannot be solved by staying within the realms of a single subject.
Who Takes Humanities Courses? A Lot of Social Scientists
Parsing federal education statistics, it turns out that prospective social scientists are the most avid consumers of humanities courses as undergrads (not counting humanities majors themselves, that is).
Publiscize: Instant Outreach in the First Person
Very, very little science makes its way to the public eye, and an even smaller amount of that makes an impact. Entrepreneurial scientist Robert Seigel is offering a way around the gatekeepers of knowledge.
Statistics’ Crisis of Reproducibility
After Big Data, one of the most controversial topics in statistics workshop is the problem of reproducibility in scientific research.
Big Data: No Free Lunch for Protecting Privacy
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.
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