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EAGER: The Climate CoLab: A System for Very Large-Scale Model-Based Group Problem-Solving

EAGER: The Climate CoLab: A System for Very Large-Scale Model-Based Group Problem-Solving
EAGER:气候 CoLab:基于超大规模模型的群体问题解决系统
批准号:
1144663
负责人:
Thomas Malone
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2013-08-31

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项目成果

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中文摘要
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英文摘要
The goal of this project is to develop a system that combines the strengths of both human and computer capabilities to help solve a complex societal problem: global climate change. The project will develop an on-line community called the Climate CoLab, in which many thousands of people around the world create, analyze, and ultimately select detailed plans for what humans can do about climate change. At the core of the system will be an evolving collection of user-created proposals based on computer simulations of the actions humans can take and the predicted impacts of those actions. Users will also be able to debate the pros and cons of different proposals and vote for the proposals and arguments they find most credible and desirable. By integrating three capabilities (computer simulation models, on-line debates, and electronic voting) in a novel way, the system lets a very large group of people define and evaluate alternative problem solutions while computers do the rapid calculations needed to assess key consequences of each alternative. By including relevant experts from different disciplines and members of the public who have novel points of view, the community can consider a wide range of plausible alternatives. And by involving policy makers and large numbers of citizens, the eventual political adoption of the most promising alternatives is facilitated. Intellectual merit: The primary intellectual contributions of this work will be generalizable lessons about how to design large-scale, on-line communities that use computational models to help solve difficult societal and managerial problems. Broader impacts: The project will help educate the general public about the issues involved in global climate change. In addition, by constructively engaging a broad range of scientists, policy makers, and concerned citizens, this system may help develop plans and policies that are actually better than any that would have otherwise been developed.
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会议论文
CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems
VOSS: Collaborative Research: Is Larger Smarter? Investigating the Effect of Group Size on Collective Intelligence
SoCS: The Climate Collaboratorium: A Tool for Large-Scale Model-Centric Collective Decision-Making
Workshop on Collective Intelligence
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