Collaborative Strategies for Successful Large-Scale, Distributed Science and Engineering Projects

成功的大型分布式科学与工程项目的合作策略

• 批准号: 1939224
• 负责人: Joel Cutcher-Gershenfeld
• 金额: $ 9.97万
• 依托单位: Brandeis University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1939224&HistoricalAwards=false
• 关键词: Collaborative; Strategies; Successful; Large; Scale

Large-scale, innovative science and engineering requires collaboration across geographically-distributed, multidisciplinary teams; however, it is very difficult for projects to maintain intellectual cohesion, tight coordination, and integration necessary to manage scalable "virtual" work that is distributed. The goal of this project is to help teams to succeed - maximizing efficiency, effectiveness, and innovativeness. This proposal is to develop the capacity for leaders of Centers, Institutes, Labs and other collaborations to plan and pursue transformative research agendas in order to truly create breakthroughs in smart and connected health, cyberphysical systems, smart cities, cybersecurity, big data, environmental sustainability, and across the domains of basic research. Training in design and management of such collaborations will be provided and tools and techniques will be developed. This work will draw on lessons learned from organization science to develop a customized curriculum to help large-scale science and engineering teams effectively and efficiently collaborate at this scale. Using the developed materials, the first of a series of workshops targeting potential principal investigators interested in large-scale Computer and Information Science and Engineering (CISE)-related projects will be conducted in the fall of 2019.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.

大规模、创新的科学和工程需要跨地理位置分布的多学科团队进行协作；然而，项目很难保持管理分布式可扩展“虚拟”工作所需的智力凝聚力、紧密协调和集成。这个项目的目标是帮助团队取得成功--最大限度地提高效率、效力和创新性。这项提议旨在培养中心、研究所、实验室和其他合作机构的领导人规划和实施变革性研究议程的能力，以便真正在智能互联健康、网络物理系统、智能城市、网络安全、大数据、环境可持续性以及基础研究领域取得突破。将提供此类协作的设计和管理方面的培训，并开发工具和技术。这项工作将借鉴组织科学的经验教训，制定定制的课程，帮助大规模的科学和工程团队在这种规模下有效和高效地合作。利用开发的材料，针对对大规模计算机和信息科学与工程(CEISE)相关项目感兴趣的潜在首席调查人员的一系列研讨会中的第一个将于2019年秋季举行。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。