Social Cognitive Networks Academic Research Center

The ARL Social Cognitive Network Academic Research Center (SCNARC) has been created and funded as a part of the US Army Network Science Collaborative Technology Alliance together with three other centers focusing on different kind of networks. The funding of SCNARC comes predominantly from the US Army and the Army Research Laboratory plays the key role in guiding the research directions of NS CTA. The principal member of the Center is Rensselaer Polytechnic Institute while the remaining members are CUNY, IBM TJ Watson Research Laboratory, and Northeastern University. The Center includes also collaborators from the Army Research Laboratory, Indiana University, University of Maryland, MIT, Northwestern University, University of Notre Dame and NYU. The Center will collaborate closely with other centers of the Network Science CTA.


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SCNARC researcher uses social media to predict personality types

May. 10, 2011: Users reveal a lot about themselves through their social media profiles. Within that, they also provide insights into their personality. In this study, SCNARC researcher Jen Golbeck asked users to take a standard personality test, gathered the public data available on their Facebook profile, and showed that with machine learning techniques it is possible predict their personality scores to within roughly 10%. (more)

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The Second Conference on Auctions, Market Mechanisms and Their Applications

Apr. 28, 2011: SCNARC is co-organizing a conference on market mechanisms. The conference seeks papers devoted to issues that arise in all stages of deploying a market mechanism to solve a problem. This includes, but is not limited to, theoretical and empirical examination of questions such as: (more)

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Rensselaer To Lead Multimillion-Dollar Research Center for Social and Cognitive Networks

Oct. 23, 2009: With $16.75 million in funding from the Army Research Laboratory (ARL), Rensselaer will launch a new interdisciplinary research center devoted to the study of social and cognitive networks. (more)