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CAREER: Decision Theoretic Life Cycle Assessment

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:
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
项目状态:
未结题
起止时间:
2021-06-01 至 2026-05-31

项目摘要

项目成果

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中文摘要
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英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
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
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
期刊: Conservation and Recycling
影响因子: --
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.
FMRG: Eco: GOALI: CAS: Understanding the Sustainability Framework for Convergent In-Space Manufacturing
  • 批准号:
    2328383
  • 项目类别:
    Standard Grant
  • 资助金额:
    $299.55万
  • 财政年份:
    2023
  • 负责人:
    Weiwei Mo
  • 依托单位:
EAGER: PPER: Development of a Contest-based Crowdsourcing Scheme for Public Water Quality Monitoring
  • 批准号:
    1743997
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2018
  • 负责人:
    Weiwei Mo
  • 依托单位:
Resilience, Reliability, and Externalities of Integrated Centralized and Distributed Water and Energy Systems: The Integrated Water-Energy Dynamic (iWED) Model
  • 批准号:
    1706143
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.37万
  • 财政年份:
    2017
  • 负责人:
    Weiwei Mo
  • 依托单位:
CRISP Type 1/Collaborative Research: Sustainable and Resilient Design of Interdependent Water and Energy Systems at the Infrastructure-Human-Resource Nexus
  • 批准号:
    1638334
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.29万
  • 财政年份:
    2016
  • 负责人:
    Weiwei Mo
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis