SCISIPBIO: Understanding and Assembling Dream Teams to Conduct Clinical and Translational Science

我们欢呼个人天才，但科学上的成功来自于合作 (Farrar，2017)。生物医学的突破来自于跨越边界的合作。 学科、组织、文化、专业和人口统计。在团队中进行跨境协作 科学已经证明了益处，研究还表明，它们不太可能形成，而当它们形成时，往往会 协调成本(Cooke&Hilton，2015)。这项研究项目通过以下方式推动了团队科学的发展 “理解”和“集结”跨境团队，开展临床和转化科学。这项研究 使学者和政策制定者能够设计和评估“梦之队”。为了达到理解的目的，我们 对NIH在两个机构的临床和转化科学试点资助项目进行档案研究，以揭示 团队的集合因素推动了球队的形成和成功。为了达到组装的目的，我们利用了一种新的 开发团队推荐系统。基本目标是生成建议以改变构成 特别是提交试点资助申请的团队和一般的跨境科学团队。 来自这个项目的见解出现在一个关键的时间点，此时跨境科学对于生物医学是必不可少的。 研究。为了实现这一目标，这个项目有两个关键的智力价值来源。首先，这项研究将 团队科学(Cooke&Hilton，2015)，接听电话以更好地理解 科学团队的成功。它们是如何形成的，哪些正在表现？跟随队伍从阵型到队形 成熟度提供了对驱动团队形成和绩效的因素的整体理解。知道如何 更好地组建科学团队有可能提高主要人力资源的职业生产率 资本，并加快生物医学研究的突破。此外，并非所有跨境团队都是 成功。之前的研究为那些组装团队提供了相互竞争的建议。一方面，交叉- 边界团队最有可能产生新的见解(Stvilia等人，2011年；Uzzi等人，2013年)，但他们也是 最有可能遭受过程损失的是协调成本(Cummings&Kiesler，2007；Cummings等人， 2013)。这种大规模的分析将使我们能够发现区分不同类型跨境团队的模式 那些最终成功的人来自那些不成功的人。智力价值的第二个来源是发展一种 团队推荐系统，供生物医学科学家用于组建跨境团队进行试点项目。这个 NAS的报告中特别提到了Dream Team Builder，因为它建立在NIH资助的vivo的本体之上。我们 扩展此工具以提供团队建议，并研究它们对团队组建和未来绩效的影响。

We hail individual geniuses, but success in science comes through collaboration (Farrar, 2017)." Biomedical breakthroughs come from collaboration that crosses boundaries. Boundaries created by disciplines, organizations, cultures, professions, and demographics. While cross-boundary collaboration in team science has demonstrated benefits, research also suggests they are unlikely to form, and when they do, are prone to coordination costs (Cooke & Hilton, 2015). This research project advances the Science of Team Science by "understanding" and "assembling" cross-boundary teams to conduct clinical and translational science. This research enables scholars and policymakers to design and assess "dream teams." Toward the aim of understanding, we conduct archival studies of NIH's Clinical & Translational Science Pilot Grant programs at two institutions to reveal the team assembly factors that drive formation and success. Toward the aim of assembling, we leverage a newly developed team recommender system. The fundamental goal is to generate recommendations to shift the composition of teams submitting Pilot Grant applications in particular and cross-boundary scientific teams in general. Insights from this project come at a critical point in time, when cross-boundary science is essential for biomedical research. Toward that aim, this project has two key sources of intellectual merit. First, the research advances the science of team science (Cooke & Hilton, 2015), answering calls to better understand the multilevel determinants of science team success. How are they forming and which ones are performing? Following teams from formation to maturity provide a holistic understanding of the factors driving team formation and performance. Knowing how to better assemble scientific teams has the potential to improve the career productivity of a major source of human capital, and to hasten breakthroughs in biomedical research. Furthermore, not all cross-boundary teams are successful. Previous research provides competing advice for those assembling teams. On the one hand, cross- boundary teams are most likely to produce novel insights (Stvilia et al., 2011; Uzzi et al., 2013), but they are also most likely to suffer process losses from their coordination costs (Cummings & Kiesler, 2007; Cummings et al., 2013). This large scale analysis will allow us to discover patterns that differentiate the kinds of cross-boundary teams who are ultimately successful from those who are not. The second source of intellectual merit is the development of a team recommender system for biomedical scientists to use to assemble cross-boundary teams for Pilot Projects. The Dream Team Builder was specifically mentioned in the NAS report as it builds on NIH-funded VIVO's ontology. We extend this tool to provide team recommendations, and study their effects on team assembly and future performance.