Collaborative Research: EAGER: International Type II: Assessing the Role of Social Innovation for Resilience in Global Collaborative Research

第1部分。鉴于时间的不确定性以及对国际研究的永久性影响，从COVID-19大流行危机中吸取教训是一项最重要的科学挑战。即使在不大可能消灭大流行病的情况下，新的工作模式也可能取代大流行病前的国际合作规范和做法。虽然技术解决办法对于促进适应大流行病很重要，但在长期危机期间，个人和团队层面的社会创新对于在科学团队中培养复原力同样重要，甚至更为重要。了解科学家在这段时间如何表现出团队弹性、加强团队和有意义地转移知识，将有利于国际协作工作的未来。在日益全球化的科学格局中，一个重大的政策问题是如何在满足当地需求的同时使科学团队国际化。我们的目标是在考虑到当地情况、机会和体制因素的情况下，描述大流行病期间国际协作工作中不同形式的社会创新。第2部分。本项目通过考察国际协作团队社会动态的三个相互交织的特征：社会创新、适应和复原力以及学习和可转移性，探讨了面对COVID-19大流行的全球科学能力社会创新这一主题。社会创新是指在团队科学的背景下改变个人和群体行为的新的和不同的方式。研究设计建立在关于团队背景下个人行为和群体动态的跨学科知识的基础上。该项目涉及一系列案例研究，重点关注四个国家（奥地利、拉脱维亚、西班牙和美国）不同的国际合作团队。数据来自文献计量数据来源、半结构化访谈、焦点小组和研究人员调查。团队包括建立大流行期间互动规范的新出现的协作，或适应大流行障碍和制约因素的适应性协作。采用一种新颖的方法来确定案例研究的团队，方法是在一个新的、健壮的文献计量数据集中实施先进的计算技术，并辅以其他雪球抽样技术。该项目最后将举办一个国际讲习班，分享和传播促进国际合作的调查结果。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Part 1.A paramount scientific challenge is to learn from the COVID-19 pandemic crisis given the uncertainty of the timing and permanent effects on international research. Even in the unlikely event of pandemic eradication, new work patterns may replace pre-pandemic norms and practices of international collaboration. While technological solutions matter for facilitating adaptation to the pandemic, social innovations at the individual and team levels are equally or more important for generating resilience within scientific teams during the protracted crisis. The future of international collaborative work can benefit from an understanding of how scientists have shown team resilience during this time, strengthening teams, and meaningfully transferring knowledge. In an increasingly globalized scientific landscape the grand policy question is how to internationalize scientific teams while, at the same time, responding to local demands. Our goal is to characterize different forms of social innovation in international collaborative work during the pandemic, while taking into account local contexts, opportunities, and institutional factors.Part 2.This project addresses the topic of global social innovation in science capacity in the face of the COVID-19 pandemic by examining three intertwining features of the social dynamics of international collaborative teams: Social innovation, Adaptation and Resilience, and Learning and Transferability. Social innovation refers to new and different ways of modifying individual and group behavior within the context of team science. The research design builds on interdisciplinary knowledge about individual conduct and group dynamics within the context of teams. The project involves a series of case studies focused around distinct internationally collaborative teams across four countries: Austria, Latvia, Spain and the United States. Data are drawn from bibliometric data sources, semi-structured interviews, focus groups, and a survey of researchers. Teams include new emergent collaborations that establish norms for interaction during the pandemic, or adaptive collaborations that adjust to the barriers and constraints of the pandemic. A novel methodological approach to identifying teams for case study is employed by implementing advanced computing techniques in a new and robust bibliometric dataset, complemented by other snowball sampling techniques. The project will conclude with an international workshop to share and disseminate findings that further international collaboration.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.