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 […]
Burned out by the hamster-wheel of academe and the regime of metrics, John Postill decided the tonic would be to write a spoof spy thriller about a Spanish nerd with a silly name who moves to London in 1994 and accidentally foils a terrorist plot by an evil anthropologist.
Text Wash, a new software tool that anonymizes personally identifiable text data, making it accessible to social scientists without compromising its usability for research, has just won the SAGE Concept Grant. This year’s award comes to roughly $30,000.
Today, researchers are using LinkedIn data in a variety of ways: to find and recruit participants for research and experiments to analyze how the features of this network affect people’s behavior and identity or how data is used for hiring and recruiting purposes.
As SAGE Ocean builds up to this year’s winner announcement of the SAGE Concept Grant, they caught up with the three winners from 2018 to see what they’ve been up to and how the seed funding has helped in the development of their tools. In this post we chatted with MiniVan, a project of the Public Data Lab.
As SAGE Ocean builds up to this year’s winner announcement of the 2019 SAGE Concept Grant, they caught up with the three winners from 2018 to see what they’ve been up to and how the seed funding has helped in the development of their tools. Here is the second in a series of three interviews with the winners.
As SAGE Ocean builds up to this year’s winner announcement of the 2019 SAGE Concept Grant, they caught up with the three winners from 2018 to see what they’ve been up to and how the seed funding has helped in the development of their tools.
At SAGE’s new online Social Science Thesaurus, click around to discover information on over 61,000 concepts in the social and behavioral sciences, such as definitions of key terms and how they relate to other concepts. You can search for a specific concept, or try clicking the ‘Hierarchy’ tab and browse through the social sciences from the top down.
Graham MacDonald, chief data scientist at Urban Institute gets to work on interesting issues that intersect data science and social science every day. Looking back on his work over the year he looks towards the future as he shares the three things he’s most excited about at the intersection of data science and social science