NSF2026: EAGER: Understanding Team Science to Help Reinvent Scientific Talent: Exploring the Knowledge, Skill, and Attitude Competencies Associated with Interdisciplinary Team Eff

这个项目探讨了NSF创意机器获奖作品之一：“重塑科学人才。“虽然已经写了很多关于融合研究中存在的跨学科性的挑战，但仍然需要对与科学团队合作相关的知识，技能和态度能力进行透彻的理解。该项目的目标是更好地了解团队科学能力，有助于有效的融合科学。(Team科学是一种协作努力，以应对科学挑战，利用在不同领域受过培训的专业人员的优势和专业知识。该项目将通过一系列综合活动来解决这些差距，这些活动调查学者和从业人员，以研究不同学科和经验水平在这些看法上的异同。作为补充，还举办了深入的讲习班，利益攸关方在讲习班上提供了自己的见解，以便获得更丰富的理解。由此，可以开发一个更全面的科学团队能力框架，以告知如何重塑科学人才，并建议未来的团队科学研究方向。这项研究的成果将有助于通过教育科学家如何更好地参与“相互学习”，即如何利用他们的专业知识和分享他们的知识，为成功的融合研究奠定更坚实的基础，从而扩大国家的科学能力。 该项目的中心是了解跨学科团队科学能力与经验水平和学科专业知识类型的关系。 尽管研究已经开始探讨其中的一些问题，但还没有研究同时探讨对团队科学能力的看法、它们如何对团队有效性做出贡献以及科学家如何在参与合作时学习之间的关系。 该项目将审查跨学科的研究人员集群，每个集群都致力于自己的融合科学形式。 它将探讨团队科学能力的看法，他们是如何最好地获得，以及如何创建学习文化，能够支持团队合作技能的发展基础收敛和概括跨问题域。 通过与这些集群举办讲习班，并对与团队科学项目有关联的学者和从业人员进行调查，该项目将得出研究结果，并建立一个框架，说明趋同能力的不同性质，以及这些能力如何与参与科学合作时的学习相关联。该项目的补充研究任务将为确定与团队科学有效性相关的能力提供基础，以及这些能力如何有助于在科学合作中相互学习。 该项目将通过同行评审的出版物、在专业会议上的发言，该项目由推进非正式STEM学习计划（AISL）支持。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的学术价值和更广泛的影响审查标准。

This project explores one of the NSF Idea Machine Winning Entries: "Reinventing Scientific Talent." While much has been written about the challenges of the kind of interdisciplinarity present in convergence research, a thorough understanding of the knowledge, skill, and attitude competencies associated with scientific teamwork is still needed. The goal of the project is to develop a better understanding of team science competencies contributing to effective convergence science. (Team science is a collaborative effort to address a scientific challenge that leverages the strengths and expertise of professionals trained in different fields.) The project will address these gaps through an integrated set of activities that survey scholars and practitioners to examine similarities and differences in these perceptions across disciplines and experience levels. Complementing these are in-depth workshops where stakeholders provide their insights so that a richer understanding is gained. From this, a more comprehensive framework of science team competencies can be developed to inform how to reinvent scientific talent and to suggest future directions for the research of team science. Outcomes from this research will help extend the nation’s scientific capabilities by teaching scientists how to better engage in “reciprocal learning”, that is, how to leverage their expertise and share their knowledge to nurture a stronger foundation for successful convergence research. This project centers on understanding interdisciplinary team science competencies in relation to levels of experience and types of disciplinary expertise. Although research is beginning to examine some of these issues, no studies have simultaneously examined the relation between perceptions of team science competencies, how they contribute to team effectiveness, and how scientists learn while engaged in collaborations. The project will examine interdisciplinary clusters of researchers, each addressing their own form of convergence science. It will explore perceptions of team science competencies, how they are best acquired, and how to create learning cultures capable of supporting the development of the teamwork skills foundational to convergence and generalizable across problem domains. Through workshops held with these clusters, and surveys of scholars and practitioners affiliated with team science projects, the project will develop research findings and a framework representing the varied nature of convergence competencies and how these relate to learning while engaged in scientific collaborations. The project’s complementary research tasks will provide the foundation for identifying the competencies associated with team science effectiveness, and how these contribute to reciprocal learning while engaged in scientific collaborations. The project will disseminate a report presenting findings and research recommendations through peer-reviewed publications, presentations at professional conferences, and additional outreach.This project is supported by the Advancing Informal STEM Learning Program (AISL) in the Division of Research on Learning and the NSF 2026 Fund Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.