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
基本信息
- 批准号:1144663
- 负责人:
- 金额:$ 30万
- 依托单位:
- 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
- 起止时间:2011-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
该项目的目标是开发一个结合人类和计算机能力优势的系统,以帮助解决复杂的社会问题:全球气候变化。该项目将开发一个名为“气候合作实验室”的在线社区,世界各地成千上万的人可以在其中创建、分析并最终选择人类应对气候变化的详细计划。该系统的核心将是不断发展的用户创建的提案集合,这些提案基于对人类可以采取的行动以及这些行动的预测影响的计算机模拟。用户还可以辩论不同提案的利弊,并投票选出他们认为最可信和最理想的提案和论点。通过以一种新颖的方式集成三种功能(计算机模拟模型、在线辩论和电子投票),该系统允许一大群人定义和评估替代问题解决方案,同时计算机进行评估每个替代方案的关键后果所需的快速计算。通过吸收不同学科的相关专家和具有新颖观点的公众,社区可以考虑各种可行的替代方案。通过让政策制定者和大量公民参与,可以促进最终在政治上采用最有希望的替代方案。智力价值:这项工作的主要智力贡献将是关于如何设计大规模在线社区,使用计算模型来帮助解决困难的社会和管理问题的普遍经验教训。更广泛的影响:该项目将帮助公众了解全球气候变化所涉及的问题。此外,通过建设性地吸引广泛的科学家、政策制定者和有关公民,该系统可能有助于制定实际上比其他方式制定的计划和政策更好的计划和政策。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Thomas Malone其他文献
When combinations of humans and AI are useful: A systematic review and meta-analysis
当人类与人工智能的组合有用时:一项系统综述和荟萃分析
- DOI:
10.1038/s41562-024-02024-1 - 发表时间:
2024-10-28 - 期刊:
- 影响因子:15.900
- 作者:
Michelle Vaccaro;Abdullah Almaatouq;Thomas Malone - 通讯作者:
Thomas Malone
118 CORRELATION BETWEEN CARDIAC OUTPUT MEASURED BY THE MICROSPHERE METHOD AND DUPLEX DOPPLER ULTRASONOGRAPHY
- DOI:
10.1203/00006450-198504000-00148 - 发表时间:
1985-04-01 - 期刊:
- 影响因子:3.100
- 作者:
Thomas Malone;Nancy Hansen;Mohammed Bashiru;James Menke;Dwight Powell - 通讯作者:
Dwight Powell
Solving Wicked Social Problems with Socio-computational Systems
- DOI:
10.1007/s13218-012-0231-2 - 发表时间:
2012-12-28 - 期刊:
- 影响因子:3.600
- 作者:
Joshua Introne;Robert Laubacher;Gary Olson;Thomas Malone - 通讯作者:
Thomas Malone
When Are Combinations of Humans and AI Useful?
人类和人工智能的结合何时有用?
- DOI:
10.48550/arxiv.2405.06087 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Michelle Vaccaro;Abdullah Almaatouq;Thomas Malone - 通讯作者:
Thomas Malone
Efficacy and Safety of Transcranial Magnetic Stimulation (TMS) for Treatment of Major Depression in Parkinson’s Disease patient with MR-Compatible Deep Brain Stimulation (DBS) Electrodes
经颅磁刺激(TMS)治疗伴有磁共振兼容深部脑刺激(DBS)电极的帕金森病患者重度抑郁症的疗效和安全性
- DOI:
10.1016/j.brs.2024.12.1119 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:8.400
- 作者:
Thomas Malone;Adel Marei;Elizabeth Flock;Alex Walters;Laelle Novotny;Vadim Baram;Julie Leyva;Richard Bucholz - 通讯作者:
Richard Bucholz
Thomas Malone的其他文献
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{{ truncateString('Thomas Malone', 18)}}的其他基金
CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems
CyberSEES:类型 2:协作研究:将专家和大众结合起来解决具有挑战性的社会问题
- 批准号:
1442887 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
VOSS: Collaborative Research: Is Larger Smarter? Investigating the Effect of Group Size on Collective Intelligence
VOSS:协作研究:越大越聪明吗?
- 批准号:
1322254 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
SoCS: The Climate Collaboratorium: A Tool for Large-Scale Model-Centric Collective Decision-Making
SoCS:气候合作实验室:以大规模模型为中心的集体决策工具
- 批准号:
0968321 - 财政年份:2010
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: Measuring Collective Intelligence
合作研究:衡量集体智慧
- 批准号:
0963285 - 财政年份:2010
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Researchl: Life, Death and Metabolic Activity in Marine Bacteria: Assessment of Cell-Specific Activity Levels in Marine Systems of Differing Trophic States
合作研究:海洋细菌的生命、死亡和代谢活性:不同营养状态海洋系统中细胞特异性活性水平的评估
- 批准号:
0002728 - 财政年份:2000
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Challenges and Promise of In Situ Sensing for Nowcasting, Forecasting and Predicting Environmental Trends in Coastal Ecosystems: A Workshop Proposal for Multi Agency Support
原位传感在临近预报、预报和预测沿海生态系统环境趋势方面的挑战和前景:多机构支持研讨会提案
- 批准号:
9820260 - 财政年份:1998
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Purchase of a Flow Cytometer for the Large-scale Assessment of Biogenic Particles in Estuarine and Coastal Systems
购买流式细胞仪用于大规模评估河口和沿海系统中的生物颗粒
- 批准号:
9713924 - 财政年份:1998
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
A Systematic Repository of Conflict Management Expertise for Collaborative Design
用于协作设计的冲突管理专业知识的系统存储库
- 批准号:
9803251 - 财政年份:1998
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Sigma Xi / A*DEC Town Meeting on Reform in Undergraduate Education in Science, Mathematics, Engineering and Technology
Sigma Xi / A*DEC 关于科学、数学、工程和技术本科教育改革的城镇会议
- 批准号:
9707194 - 财政年份:1997
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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