Using a high-stakes field experiment conducted with a financial brokerage, we implement a novel design to separately identify two channels of social influence in financial decisions, both widely studied theoretically. We find that both social learning and social utility channels have statistically and economically significant effects on investment decisions.
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YINS Professor Leandros Tassiulas Receives 2016 IEEE Koji Kobayashi Computers and Communications AwardThe IEEE Koji Kobayashi Computers and Communications Award, established in 1986 and sponsored by the NEC Corporation, honors outstanding contributions to the integration of computers and communications. We are pleased to announce the winner of the 2016 IEEE Koji Kobayashi Computers and Communications Award is YINS Professor Leandros Tassiulas, for “contributions to the scheduling and stability analysis of networks.”
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YINS Co-director Dan Spielman Receives 2015 Gödel PrizeThe Gödel prize, sponsored jointly by ACM SIGACT, recognizes outstanding papers in the area of theoretical computer science. This year, the Gödel Prize has been awarded to YINS co-director Dan Spielman and his long time co-author Shang-Hua Teng for their series of papers on nearly-linear-time Laplacian solvers. Their work resolved an outstanding open problem in numerical linear algebra and delivered a new and extremely powerful algorithmic primitive: nearly linear time electrical flow computations.
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Social network experiments create a tipping point to improve public healthConvincing a large group of people to change its behavior is no popularity contest, a new study shows.
In a novel experiment, researchers found that certain public health interventions work best when key “influencers” in a face-to-face social network are exposed to the program. What’s surprising, they say, is that those key influencers are not the most socially connected people in the network.
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