Team Structure and Scientific Advance

[视频介绍]
简介:Teams dominate the production of high-impact science and technology. Analyzing teamwork from more than 50 million papers, patents, and software products, 1954-2014, we demonstrate across this period that larger teams developed recent, popular ideas, while small teams disrupted the system by drawing on older and less prevalent ideas. Attention to work from large teams came immediately, while advances by small teams succeeded further into the future. Differences between small and large teams magnify with impact—small teams have become known for disruptive work and large teams for developing work. Differences in topic and research design account for part of the relationship between team size and disruption, but most of the effect occurs within people, controlling for detailed subject and article type. These findings suggest the importance of supporting both small and large teams for the sustainable vitality of science and technology. I also demonstrate the importance of modeling the team or hypergraph structure of science, rather than reducing it to simple, pairwise networks.
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讲师:James

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课程简介:Teams dominate the production of high-impact science and technology. Analyzing teamwork from more than 50 million papers, patents, and software products, 1954-2014, we demonstrate across this period that larger teams developed recent, popular ideas, while small teams disrupted the system by drawing on older and less prevalent ideas. Attention to work from large teams came immediately, while advances by small teams succeeded further into the future. Differences between small and large teams magnify with impact—small teams have become known for disruptive work and large teams for developing work. Differences in topic and research design account for part of the relationship between team size and disruption, but most of the effect occurs within people, controlling for detailed subject and article type. These findings suggest the importance of supporting both small and large teams for the sustainable vitality of science and technology. I also demonstrate the importance of modeling the team or hypergraph structure of science, rather than reducing it to simple, pairwise networks.