CAREER: Decision Theoretic Life Cycle Assessment

职业：决策理论生命周期评估

• 批准号: 2047199
• 负责人: Weiwei Mo
• 金额: $ 50.71万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047199&HistoricalAwards=false
• 关键词: CAREER; Decision; Theoretic; Life; Cycle

This CAREER project aims to create a decision theoretic life cycle assessment (DT-LCA) framework to critically advance LCA’s predictive power and usefulness in support of decision-making. In particular, the project will use DT-LCA to address health, economic, and environmental aspects related to drinking water emergency planning and response. The goal is to enable LCA to address important questions regarding how various human decision factors influence sustainability outcomes, and in turn, how sustainability outcomes influence decision-making. The DT-LCA approach will use an immersive game-based approach to engage stakeholders in simplified but realistic decision scenarios. Unlike the deterministic LCA approach, DT-LCA simulates sustainability outcomes in an iterative, dynamic manner based upon actual decisions made by stakeholders during the game. It combines social experimenting, computer modeling, education, and outreach into one integrated framework.The research seeks to enhance the way LCA is conducted by tightly coupling it with stakeholder decision- making through serious gaming. Decision factors including risk attitudes, interorganizational networks, and access to LCA results will be introduced into the game’s experimental design to investigate their influences on sustainability outcomes. Stakeholder concept maps before and after game participation will be collected to study the influence of the DT-LCA on learning. These influences will be characterized by analyzing the quantitative and qualitative data obtained from the serious game through statistical and machine learning techniques, network analysis, and text mining. This project aims to generate new knowledge in 1) the influences of human decision factors including risk attitudes and interorganizational networks on sustainability outcomes; 2) the influences of knowledge about sustainability outcomes on decision-making; and, 3) the effectiveness of a tightly coupled decision-assessment framework on stakeholder learning as well as on improving the sustainability of drinking water emergency planning and response practices. This project will also result in the development of 1) a DT-LCA framework that allows for the tight coupling of assessment and decision-making; 2) a novel serious game for engaged learning about drinking water emergency planning and response; 3) a safety planning model and an emergency response model that incorporate various decision scenarios and the associated system responses; 4) a method to integrate impacts related to failure risks into sustainability measures; and, 5) a teaching packet that can be integrated into undergraduate and graduate level courses and be used by self-learners. This project will engage at least 50 stakeholders from New Hampshire along with additional water industry professionals and the general public through workshops and crowdsourcing. A teaching packet will be developed to encompass the game and the simulation tool from this project, and the teaching packet will be integrated into three undergraduate and graduate courses at University of New Hampshire (UNH). This is targeted to help students obtain new knowledge and skillsets that are critical to manage the complexity behind sustainability challenges. Key outcomes from the project will be further disseminated to a broader community through the UNH’s Research Experience for Teachers of Engineering (RETE) program, an existing science educator network (NHISE), conference workshops and presentations, webinars, social media posts, and journal publications.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.

该职业项目旨在创建决策理论生命周期评估 (DT-LCA) 框架，以显着提高 LCA 的预测能力和实用性，以支持决策。特别是，该项目将使用 DT-LCA 来解决健康、经济和健康问题。目标是使 LCA 能够解决有关各种人类决策因素如何影响可持续性结果以及可持续性结果如何影响决策的重要问题。一个与确定性 LCA 方法不同，DT-LCA 基于沉浸式游戏的方法，根据利益相关者在游戏过程中做出的实际决策，以迭代、动态的方式模拟可持续性结果。该研究旨在通过严肃的博弈将风险态度、组织间网络和获取生命周期评价结果等决策因素与利益相关者决策紧密结合起来，从而增强生命周期评价的实施方式。引入到游戏的实验设计将收集游戏参与前后对可持续性结果的影响，以研究 DT-LCA 对学习的影响，并通过分析从游戏中获得的定量和定性数据来表征这些影响。该项目旨在通过统计和机器学习技术、网络分析和文本挖掘产生新的知识：1）人类决策因素（包括风险态度和组织间网络）对可持续发展结果的影响；2）可持续发展知识的影响。决策结果； 3) 紧密耦合的决策评估框架对利益相关者学习以及提高饮用水应急规划和响应实践的可持续性的有效性 该项目还将导致 1) DT-LCA 框架的开发。评估和决策的紧密结合； 2) 一种新颖的严肃游戏，用于学习饮用水应急规划和响应； 3) 包含各种决策场景和相关系统响应的安全规划模型和应急响应模型； ）一种整合相关影响的方法5) 一个可以纳入本科生和研究生水平课程并供自学者使用的教学包，该项目将吸引来自新罕布什尔州的至少 50 名利益相关者以及其他水行业专业人士。将通过研讨会和众包开发一个教学包，以包含该项目的游戏和模拟工具，并且该教学包将被整合到新罕布什尔大学（UNH）的三门本科生和研究生课程中。旨在帮助学生获得新的知识和技能该项目的主要成果将通过新罕布什尔大学工程教师研究经验 (RETE) 计划、现有的科学教育者网络 (NHISE)、会议研讨会和演讲，进一步传播到更广泛的社区。网络研讨会、社交媒体帖子和期刊出版物。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Drinking Water Emergency Planning and Response in New Hampshire

新罕布什尔州饮用水应急规划和响应

• DOI: 10.1002/awwa.2037
• 发表时间: 2023-01
• 期刊: Journal AWWA
• 影响因子: 0.7
• 作者: Cramton, Megan;Berg, Sara;Bixler, Taler S.;Huang, Jingyan;Mo, Weiwei
• 通讯作者: Mo, Weiwei

Integrating knowledge co-production with life cycle assessment

将知识共同生产与生命周期评估相结合

• DOI: 10.1016/j.resconrec.2022.106650
• 发表时间: 2023-01
• 期刊: Conservation and Recycling
• 作者: Mo, Weiwei;Hart, David;Ashcraft, Catherine M.;Chester, Mikhail;Cucurachi, Stefano;Lu, Zhongming;Miller, Shelie A.
• 通讯作者: Miller, Shelie A.