CHS: Medium: A Comparative Study of Convergence Actors Across the Sciences

该项目调查了自然科学、工程科学和社会科学内部和之间的融合或转化研究的实例。科学研究越来越依赖于许多不同专业领域的合作。当需要进行跨研究领域或项目的专业知识、工具和分析技术的研究时，它必须是融合的，这对试图以新方式合作的科学家提出了挑战。该项目旨在研究围绕融合研究的过程和目标而出现的新的合作动态，这已成为NSF最近努力的核心内容。这项研究将为科学政策和监管环境提供信息，以帮助发展可持续和富有成效的研究组织、平台、基础设施和融合工具。本研究的重点是进行转化研究的模范专家，他们的实践，组织形式，技术工具和架构。它将研究海洋科学、射电天文学和数据科学等领域的专家。目标是理解和分析聚合的实践、反复出现的挑战和技术架构，以便支持和增强推动科学发展的活动。使用的方法是比较、档案和民族志。人种志工作是多地点（跨越多个研究地点）和多标量（探索在多个尺度上嵌套的现象）。这两个因素对趋同活动的比较分析都是至关重要的。在更高和更一般的层面上，该研究探索了基于网络的动态和融合行为者在调查地点内部和之间运作。在较低和更具体的层面上，它深入到更详细地考虑在选定的网络微站点中采用的局部收敛。研究结果将有助于工具和基础设施的社会技术设计，计算机支持的协同工作和科学技术研究的人机交互领域。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。

This project investigates instances of convergent or translational research within and across the natural, engineering and social sciences. Scientific research increasingly relies on collaboration across many different areas of expertise. When there is a need to do research that translates expertise, tools, and analytic techniques across research areas or projects, it must be convergent and presents challenges for scientists who are trying to collaborate in new ways. This project aims to investigate new dynamics of collaboration emerging around processes and goals for convergent research, which has become a central plank of recent NSF efforts. This research will inform science policy and regulatory environments to help develop sustainable and productive research organizations, platforms, infrastructure, and convergent tools.The focus of this research is on exemplary experts who conduct translational research, their practices, organizational forms, technical tools and architectures. It will study experts in ocean science, radio astronomy, and data science among others. The goal is to understand and analyze practices of convergence, recurrent challenges, and technological architectures, in order to support and enhance activities that advance science. The methods used are comparative, archival and ethnographic. The ethnographic work is both multi-sited (operating across multiple research locales) and multi-scalar (exploring phenomena nested at multiple scales). Both elements are crucial to the comparative analysis of convergence activities. At a higher and more general level, the research explores network-based dynamics and convergence actors operating within and across the sites of investigation. At a lower and more specific level, it drills down to consider in greater detail the local convergence adopted in select network micro-sites. Findings will contribute to the sociotechnical design of tools and infrastructure, the human-computer interaction field of computer supported cooperative work and science and technology studies.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.