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Science-based Negotiation of Multi-objective Resources Disputes

Science-based Negotiation of Multi-objective Resources Disputes
多目标资源纠纷的科学谈判
批准号:
0736942
负责人:
Andrew Miller
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-03-15 至 2011-02-28

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Interdisciplinary (99) An academic-industry partnership is creating and offering an upper-level undergraduate course, Computer Aided Negotiation of Water Resources Disputes, in which students tackle a real-world, interdisciplinary problem in the form of an interstate water supply dispute. Students are integrating science, technology, public policy, and law to create mutually beneficial solutions to resource disputes. Each student plays the role of a lawyer, biologist, geologist or engineer employed by one of the water supply stakeholders. The stakeholder groups use (1) web-based, pedagogically-sound instructional tools, (2) a multi-disciplinary panel of working professionals, and (3) a computer model that utilizes linear programming algorithms to derive optimal solutions in accordance with priorities determined jointly by the stakeholders. The computer-aided negotiation process, which has been applied successfully to water resources disputes over the past two decades, is being used to develop and seek consensus on a set of operating rules for the system. Students are learning to utilize scientific knowledge and technological tools, function effectively on interdisciplinary teams, and successfully negotiate with disparate interests. Moreover, the students learn the background information required to participate in resource negotiations using research-supported pedagogy. George Mason University, the University of Lethbridge, and the University of Texas at Austin are serving as beta test sites for the course.
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Collaborative Research: SaTC: CORE: Medium: Hybridizing Trusted Execution Environments and Secure Multiparty Computation
Career: Family Resilience Technologies: Augmenting Caregiving Coordination Systems for Health Crisis Response
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  • 负责人:
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CAREER: Composable Programming Abstractions for Secure Distributed Computing and Blockchain Applications
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