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

CHS：媒介：跨学科融合参与者的比较研究

• 批准号: 1954620
• 负责人: Charlotte Lee
• 金额: $ 50万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1954620&HistoricalAwards=false
• 关键词: CHS; Medium; Comparative; Study; Convergence

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.

这个项目调查了自然科学、工程学和社会科学内部和跨领域的汇聚或转换研究的实例。科学研究越来越依赖于跨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，它必须是收敛的，并给试图以新方式合作的科学家带来挑战。该项目旨在调查围绕融合研究的过程和目标出现的新的合作动力，这已成为NSF最近努力的核心。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翻译研究的模范专家、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方面的专家。其目标是了解和分析融合、反复出现的挑战和技术架构的实践，以便支持和加强促进科学的活动。使用的方法有比较法、档案法和人种学。民族志工作既是多地点的(在多个研究地点进行)，也是多标量的(探索嵌套在多个尺度上的现象)。这两个要素对于汇聚活动的比较分析至关重要。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汇聚行为者在调查地点内和跨调查地点运作。在更低和更具体的级别上，它深入到更详细地考虑在选定的网络微型站点中采用的本地融合。研究结果将有助于工具和基础设施的社会技术设计、计算机支持的协作工作的人机交互领域以及科学技术研究。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Data Integration as Coordination: The Articulation of Data Work in an Ocean Science Collaboration

数据集成作为协调：海洋科学合作中数据工作的阐明

• DOI: 10.1145/3432955
• 发表时间: 2021
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Neang, Andrew B.;Sutherland, Will;Beach, Michael W.;Lee, Charlotte P.
• 通讯作者: Lee, Charlotte P.

Organizing Oceanographic Infrastructure: The Work of Making a Software Pipeline Repurposable

组织海洋学基础设施：使软件管道可重新利用的工作

• DOI: 10.1145/3579512
• 发表时间: 2023
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Neang, Andrew B.;Sutherland, Will;Ribes, David;Lee, Charlotte P.
• 通讯作者: Lee, Charlotte P.