Collaborative Research: Theory-Grounded Guidelines for Solver-Aware System Architecting (SASA)

协作研究：基于理论的求解器感知系统架构指南 (SASA)

• 批准号: 2129574
• 负责人: Zoe Szajnfarber
• 金额: $ 26.35万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-11-01 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129574&HistoricalAwards=false
• 关键词: Collaborative; Research; Theory; Grounded; Guidelines

The objective of this project is to advance the scientific understanding of a new paradigm of system architecting in engineering, referred to as Solver-Aware System Architecting (SASA). SASA actively considers the capacity of talent and expertise from outside organizational boundaries (e.g., gig workers, crowd) during the formulation phases of the system design process. This research hypothesizes that the joint consideration of system architecture, diverse external solvers, and contract mechanisms, can significantly improve system design outcomes. The research will result in new theory and best practices for when and how to incorporate novel sources of effort into complex systems design, which has positive implications for workforce management. With an explicit focus on translation to practice, the guidance generated by this work has the potential to make a tangible impact on how system architecting is practiced, and the way organizations engage with outside and non-traditional solvers, which promises greater effectiveness and efficiency in technical business operations. The theoretical innovations will be reduced to practice in the form of actionable guidelines relating SASA principles to design outcomes. Additional deliverables of this project include a set of educational tools to educate students and industry practitioners on SASA.If successful, the research will result in scientific foundations for the paradigm shift from traditional approaches to system architecting, which assume traditional players bounded by organizational boundaries, to more open innovation approaches for complex systems design. The research will establish a firm scientific foundation consisting of (i) socio-technical theory for architecting complex systems; (ii) computational models of open innovation processes for systems design and computational methods for designing contractual mechanisms for SASA; and (iii) empirically-validated design guidelines to support practitioners of SASA. The research will extend the frontier of knowledge in systems engineering research and practice by shedding light on the linkages among innovation processes, designer knowledge, systems architecture and contractual structures. The resulting educational tools will have a direct impact on student learning about system architecting. The tools will be tested at the PIs’ institutions and then made freely available to other members of the Engineering Design and Systems Engineering (EDSE) community. The focus on leveraging non-traditional contributors has implications for broader societal goals around diversity and inclusion, broadening participation in STEM through new avenues for access, and eliminating barriers to traditional professional practice.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.

该项目的目的是提高对工程中系统架构的新范式的科学理解，该范例被称为求解器吸引系统架构（SASA）。 SASA在系统设计过程的公式阶段中积极考虑了外部组织边界（例如演出工人，人群）的人才和专业知识的能力。这项研究假设，联合考虑系统架构，潜水员外求解器和合同机制可以显着改善系统设计成果。这项研究将为何时以及如何将新颖的努力来源纳入复杂的系统设计中带来新的理论和最佳实践，这对劳动力管理具有积极影响。凭借明确的重点是翻译为实践，这项工作产生的指导有可能对系统架构的实践方式产生切实的影响，以及组织与外部和非传统求解者的互动方式，这有望在技术业务运营中提高有效性和效率。理论创新将以可行的指南的形式减少为实践，该指南将SASA原则与设计成果有关。该项目的其他可交付成果包括一套为SASA的教育学生和行业实践者提供的一套教育工具。如果成功，该研究将导致从传统方法转向系统架构的范式转变的科学基础，这些范式假设传统的参与者受组织边界界定的传统参与者，即对复杂系统设计的更开放的创新方法。该研究将建立一个牢固的科学基础，该基础由（i）用于架构复杂系统的社会技术理论组成； （ii）用于设计SASA合同机制的系统设计和计算方法开放创新过程的计算模型； （iii）经验验证的设计指南，以支持SASA的从业者。该研究将通过阐明创新过程，设计师知识，系统体系结构和合同结构之间的联系，扩展系统工程研究和实践中知识的前沿。由此产生的教育工具将直接影响学生学习系统架构的学习。这些工具将在PIS机构进行测试，然后免费提供给工程设计和系统工程（EDSE）社区的其他成员。对利用非传统贡献者的关注对围绕多样性和包容性的更广泛的社会目标有影响，通过新的访问途径扩大参与STEM的参与，并消除了传统专业实践的障碍。该奖项反映了NSF的法定任务，并通过使用该基金会的知识优点和广泛影响来评估NSF的法定任务，并被认为是宝贵的支持。

项目成果

Towards a solver-aware systems architecting framework: leveraging experts, specialists and the crowd to design innovative complex systems

迈向求解器感知系统架构框架：利用专家、专家和大众来设计创新的复杂系统

• DOI: 10.1017/dsj.2022.7
• 发表时间: 2022
• 期刊: Design Science
• 影响因子: 2.4
• 作者: Szajnfarber, Zoe;Topcu, Taylan G.;Lifshitz-Assaf, Hila
• 通讯作者: Lifshitz-Assaf, Hila