EAGER/Collaborative Research: Demonstrating the Importance of Research Setting Representativeness in Systems Engineering and Design Research

EAGER/协作研究:展示研究环境代表性在系统工程和设计研究中的重要性

基本信息

  • 批准号:
    1841109
  • 负责人:
  • 金额:
    $ 5.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-01 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

This EArly-concept Grant for Exploratory Research (EAGER) grant supports fundamental research into the factors that determine whether a research setting is sufficiently representative of real-world systems engineering and design situations. Designing complex engineering systems such as critical infrastructure, capital-intensive projects, and national defense systems involves large design teams consisting of hundreds to thousands of individuals over timescales reaching into decades. This project addresses the fundamental issue of understanding the design of such complex engineering systems using simpler, shorter-duration, and more controlled research settings. The research objective of this project is to explore the creation and validation of standards for research setting representativeness to assess whether and the extent to which findings from one research setting can be extend to others. If successful, this work will transform research in the community by enabling more efficient knowledge aggregation through a rigorous methodological foundation for assessing how well, and in what dimensions, research settings represent their real counterparts. This foundation will enrich empirical and theory-driven research within the systems engineering and design community by improving validity assessment of research outcomes across diverse methodological perspectives. As a crucial component of this project, results will be disseminated to diverse audience through presentations and workshops at community-specific conferences. Dissemination and community-building activities will foster an ongoing conversation around the need for shared standards and consensus for the kinds of knowledge to be gained from diverse research settings and methodological approaches. The core intellectual contributions of this high-risk high-reward work are to identify dimensions of research setting representativeness, understand how they impact design and execution of research studies, and demonstrate a methodology to generate insights regarding representativeness. Two pilot studies will probe varying dimensions of representativeness for a spacecraft design process. The first pilot study will compare the real spacecraft design process to a concurrent design environment with a smaller team working on a shorter timescale. The second pilot study will compare a fully abstracted function optimization game to a more representative game that models the context and technical dependencies of a spacecraft in the optimization problem. The pilot studies will demonstrate the viability of studying the effects of research setting representativeness on designer behaviors. The potential exists that research setting representativeness is impractical to characterize well, which is a principal risk factor for this project. However, the potential reward is equally high. If successful, results from this project are expected to provide the foundation of multi-method, multi-scale research, allowing researchers to interpret, evaluate, and build on each other?s results across different research methodologies. This would transform the research community and enable new discoveries that far exceed current research capabilities.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.
EARLY概念探索性研究资助(EAGER)资助支持基础研究,以确定研究环境是否足以代表现实世界的系统工程和设计情况。设计复杂的工程系统,如关键基础设施,资本密集型项目和国防系统,涉及由数百至数千人组成的大型设计团队,时间跨度长达数十年。该项目解决了使用更简单、持续时间更短、控制更严格的研究环境来理解此类复杂工程系统设计的根本问题。本项目的研究目标是探索研究设置代表性的标准的创建和验证,以评估来自一个研究设置的结果是否可以扩展到其他研究设置。如果成功,这项工作将改变社区的研究,通过严格的方法论基础来评估研究环境在多大程度上以及在哪些方面代表了真实的同行,从而实现更有效的知识聚合。该基金会将丰富系统工程和设计社区内的经验和理论驱动的研究,通过提高跨不同的方法论视角的研究成果的有效性评估。作为该项目的一个重要组成部分,将通过在社区专题会议上介绍情况和举办讲习班,向各种受众传播成果。传播和社区建设活动将促进围绕需要就从不同研究环境和方法学途径获得的知识种类制定共同标准和达成共识的持续对话。这种高风险高回报工作的核心智力贡献是确定研究设置代表性的维度,了解它们如何影响研究的设计和执行,并展示一种方法来产生关于代表性的见解。两项试点研究将探讨航天器设计过程中代表性的不同方面。第一项试点研究将比较真实的航天器设计过程与一个并行设计环境,其中一个较小的团队在较短的时间尺度上工作。第二个试点研究将比较一个完全抽象的功能优化游戏,一个更有代表性的游戏,模型的背景和技术依赖的航天器在优化问题。试点研究将证明研究的可行性,研究设置的代表性对设计师行为的影响。研究设置的代表性可能无法很好地表征,这是本项目的主要风险因素。然而,潜在的回报同样很高。如果成功,该项目的结果有望为多方法,多尺度研究提供基础,使研究人员能够相互解释,评估和建立?的结果,在不同的研究方法。该奖项反映了NSF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。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A call for consensus on the use of representative model worlds in systems engineering and design
呼吁就系统工程和设计中代表性模型世界的使用达成共识
  • DOI:
    10.1002/sys.21536
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Szajnfarber, Zoe;Grogan, Paul T.;Panchal, Jitesh H.;Gralla, Erica L.
  • 通讯作者:
    Gralla, Erica L.
Designing Representative Model Worlds to Study Socio-Technical Phenomena: A Case Study of Communication Patterns in Engineering Systems Design
  • DOI:
    10.1115/1.4048295
  • 发表时间:
    2020-12
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Ashish M. Chaudhari;E. Gralla;Z. Szajnfarber;P. Grogan;Jitesh H. Panchal
  • 通讯作者:
    Ashish M. Chaudhari;E. Gralla;Z. Szajnfarber;P. Grogan;Jitesh H. Panchal
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Paul Grogan其他文献

The Arctic Plant Aboveground Biomass Synthesis Dataset
北极植物地上生物质合成数据集
  • DOI:
    10.1038/s41597-024-03139-w
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    L. Berner;K. M. Orndahl;Melissa Rose;Mikkel Tamstorf;M. F. Arndal;Heather D Alexander;Elyn R. Humphreys;M. Loranty;Sarah M. Ludwig;Johanna Nyman;Sari Juutinen;M. Aurela;Konsta Happonen;Juha Mikola;M. Mack;Mathew R Vankoughnett;C. Iversen;V. Salmon;Dedi Yang;Jitendra Kumar;Paul Grogan;R. Danby;Neal A Scott;Johan Olofsson;M. Siewert;Lucas Deschamps;Esther Lévesque;Vincent Maire;Amélie Morneault;Gilles Gauthier;Charles Gignac;Stéphane Boudreau;Anna Gaspard;Alexander Kholodov;M. Bret;H. Greaves;Donald A. Walker;Fiona M Gregory;Anders Michelsen;T. Kumpula;M. Villoslada;H. Ylänne;M. Luoto;T. Virtanen;B. Forbes;N. Hölzel;Howard E. Epstein;R. J. Heim;Andrew Bunn;R. Max Holmes;Jacqueline K Y Hung;Susan M. Natali;Anna‐Maria Virkkala;S. Goetz
  • 通讯作者:
    S. Goetz
Vegetation-Associated Impacts on Arctic Tundra Bacterial and Microeukaryotic Communities
植被对北极苔原细菌和微真核生物群落的影响
  • DOI:
    10.1128/aem.03229-14
  • 发表时间:
    2014-10
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Yu Shi;Xingjia Xiang;Congcong Shen;Haiyan Chu;Josh D. Neufeld;Virginia K. Walker;Paul Grogan
  • 通讯作者:
    Paul Grogan
Parent's awareness of, and influence on, their 14-17-year-old child's vaping and smoking behaviours; an analysis of 3242 parent-child pairs in Australia.
家长对其 14-17 岁孩子吸电子烟和吸烟行为的认识和影响;
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sam Egger;Christina Watts;Anita Dessaix;A. Brooks;Emily Jenkinson;Paul Grogan;Becky Freeman
  • 通讯作者:
    Becky Freeman
Risk-adjusted breast screening: an Australian perspective and considerations for the Western Pacific
经风险调整的乳房筛查:澳大利亚的视角和对西太平洋地区的考虑
  • DOI:
    10.1016/j.lanwpc.2025.101520
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    8.100
  • 作者:
    Carolyn Nickson;Louiza S. Velentzis;G. Bruce Mann;Paul Grogan;Deborah Bateson;Karen Canfell
  • 通讯作者:
    Karen Canfell
Multi-scale variability analysis reveals the importance of spatial distance in shaping Arctic soil microbial functional communities
多尺度变异分析揭示了空间距离在塑造北极土壤微生物功能群落中的重要性
  • DOI:
    10.1016/j.soilbio.2015.03.028
  • 发表时间:
    2015-07
  • 期刊:
  • 影响因子:
    9.7
  • 作者:
    Yu Shi;Paul Grogan;Huaibo Sun;Jinbo Xiong;Yunfeng Yang;Jizhong Zhou;Haiyan Chu
  • 通讯作者:
    Haiyan Chu

Paul Grogan的其他文献

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{{ truncateString('Paul Grogan', 18)}}的其他基金

CAREER: Understanding Strategic Dynamics in the Engineering of Decentralized Systems
职业:了解去中心化系统工程中的战略动态
  • 批准号:
    2422337
  • 财政年份:
    2023
  • 资助金额:
    $ 5.92万
  • 项目类别:
    Standard Grant
CAREER: Understanding Strategic Dynamics in the Engineering of Decentralized Systems
职业:了解去中心化系统工程中的战略动态
  • 批准号:
    1943433
  • 财政年份:
    2020
  • 资助金额:
    $ 5.92万
  • 项目类别:
    Standard Grant
EAGER: Model-based Foundations of Collective Systems Design Theory
EAGER:基于模型的集体系统设计理论基础
  • 批准号:
    1742971
  • 财政年份:
    2017
  • 资助金额:
    $ 5.92万
  • 项目类别:
    Standard Grant

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