INSPIRE: ENABLING TRANSFORMATION IN THE SOCIAL SCIENCES, GEOSCIENCES, AND CYBERINFRASTRUCTURE THROUGH STAKEHOLDER ALIGNMENT AND NEW INSTITUTIONAL THEORY, METHODS, AND ANALYTICS

该INSPIRE奖部分由地球科学理事会和网络基础设施办公室资助，作为其对EarthCube的承诺的一部分，EarthCube是NSF一项新的主要网络基础设施活动，旨在为21世纪创建一个大胆的、集成的地球科学数据和知识管理系统，以及社会、行为和经济科学理事会的三个项目（科学与创新政策科学；科学、技术与社会；组织科学）。这是一项变革性的跨学科研究，能够更有效地设计和实施社区驱动的网络基础设施，从而创建一个可互操作的数据系统和数据类型系统，为具有不同背景、需求和科学文化的广泛而不同的地球科学用户社区服务。该研究还将开拓新的社会和行为科学理论、方法和分析，以解决利益相关者围绕大型、复杂的基础设施项目进行协调的新方式。这项研究在本质上具有变革性，因为它是第一个此类项目，在这个重大的国家科学基金会社区驱动的基础设施项目中，作为其项目结构的一个组成部分，社会科学和社区/利益相关者建设过程的分析被纳入其中。它还在量化方法的发展方面开辟了新天地，以衡量集体、社区和个人观念随时间的演变。这种类型的理解对于在很少互动的科学和技术社区之间建立信任和伙伴关系至关重要。该项目涉及社会科学家、地球科学家、网络基础设施和计算机科学专家的密切互动，利用利益相关者研究的结果来帮助改进网络基础设施的设计和建设过程，并指导有效管理社区参与和最终系统实施所需的组织和治理结构的形成。本研究采用新颖的可视化工具，并将开发创新的定量方法来评估利益相关者协议及其随时间的演变。对数据和结果的分析将有助于确定最有效的基础设施投资目标，并在设计过程中理解和改善社区参与，从而确保所创建的任何内容都能充分满足最终用户的需求。这项工作的广泛影响包括培养博士生，加速nsf发起的大型科学技术项目的进展，并产生将为政策、规划和资源分配提供信息的见解。

This INSPIRE award is partially funded by the Directorate of Geosciences and Office of Cyberinfrastructure as part of their committment to EarthCube, a major new NSF cyberinfrastructure activity to create a bold, integrated, geoscience data and knowledge management system for the 21st Century, and by three Programs in the Directorate for Social, Behavioral, and Economic Sciences (Science of Science and Innovation Policy; Science, Technology, and Society; and Science of Organizations). This is transformative, interdisciplinary, research that enables more effective design and implementation of community-driven cyberinsrastructure that will create an interoperable system of data systems and data types that serve a broad and disparate community of geoscience users with different backgrounds, needs, and scientific cultures. The research will also pioneer new social and behavioral science theory, methods, and analytics that address new and emerging ways that stakeholders are aligned around big, complex, infrastructure projects. The research is transformative in nature because it is a first-of-its kind project in which a major NSF community-driven infrastructure project of this magnitude has incorporated, as an integral part of its project structure, social science and an analysis of the community/stakeholder building process. It also breaks new ground in the developing of quantitative approaches to measure the evolution of collective community and individual perceptions over time. This type of understanding is critical when building trust and partnerships between science and technology communities that rarely, if ever, interact. The project involves the intimate interaction of social scientists, geoscientists, and cyberinfrastructure and computer science experts, with the results of the stakeholder studies being used to help improve the cyberinfrastructure design-and-build process, as well as guide the formation of the organizational and governance structures that will be needed to effectively manage community engagement and implementation of the final system. This research employs novel visualization tools and will develop innovative quantitative means for assessing stakeholder agreement and its evolution over time. The analysis of data and results will assist in identifing the most effective targets for infrastructure investment and understanding and improving community engagement in the design process, thus ensuring that whatever is created adequately serves end-user needs. Broader impacts of the work include the training of PhD students, accelerating progress in large NSF-initiated science and technology projects, and generating insights that will inform policy, planning, and resource allocation.