Collaborative Research: Conference: NSF Workshop Sustainable Computing for Sustainability
协作研究:会议:NSF 可持续计算可持续发展研讨会
基本信息
- 批准号:2334855
- 负责人:
- 金额:$ 0.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The motivations behind this project are two-fold. It is driven by the growing role of computing as an essential tool in devising solutions to the many major societal problems created by climate change. At the same time, it is an acknowledgment of the fact that, in spite of its positive role, computing is itself facing sustainability challenges as well as contributing to some of the factors behind climate change. Fostering the development of new initiatives addressing those problems and challenges is the main goal of this project. The project’s novelties lie in jointly addressing the dual role of computing as an enabler of solutions to climate change as well as a contributor to climate change itself, and in exploring the challenges faced by the interdisciplinary teams needed to develop effective approaches. The project’s impacts are similarly two-fold: It will help prioritize new research directions where computing can have a transformative role in developing solutions to climate change challenges and it will increase awareness of the need for computing to account for sustainability in its own development.Towards realizing the project’s goals, the investigators rely on a two-prong approach. The project’s first phase consists of an open information gathering effort conducted virtually (online) towards identifying critical, yet poorly explored sustainability problems that computing can help address. The second phase seeks to develop a concrete agenda for not only addressing those challenges, but equally importantly help build and sustain the interdisciplinary scientific community that successfully tackling them requires. This second phase is in the form of a workshop bringing together not only researchers across the required disciplines, but also researchers with expertise in building interdisciplinary teams and team science towards informing the creation and sustainability of successful teams involving participants across multiple disciplines.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.
这个项目背后的动机是双重的。 这是由于计算作为一种重要工具,在为气候变化造成的许多重大社会问题制定解决方案方面发挥着越来越大的作用。 与此同时,它也承认了这样一个事实,即尽管计算发挥了积极作用,但它本身也面临着可持续性的挑战,并助长了气候变化背后的一些因素。 该项目的主要目标是促进制定解决这些问题和挑战的新举措。该项目的新颖之处在于共同解决计算作为气候变化解决方案的推动者以及气候变化本身的贡献者的双重作用,并探索开发有效方法所需的跨学科团队所面临的挑战。 该项目的影响同样是双重的:它将有助于优先考虑新的研究方向,其中计算可以在开发气候变化挑战的解决方案中发挥变革性作用,它将提高人们对计算在其自身发展中考虑可持续性的必要性的认识。为了实现该项目的目标,调查人员依靠双管齐下的方法。 该项目的第一阶段包括一个开放的信息收集工作进行虚拟(在线),以确定关键的,但探索不足的可持续性问题,计算可以帮助解决。第二阶段力求制定一项具体议程,不仅要应对这些挑战,而且同样重要的是帮助建立和维持成功应对这些挑战所需的跨学科科学界。 第二阶段是以讲习班的形式,不仅将所需学科的研究人员聚集在一起,同时也是在建立跨学科团队和团队科学方面具有专业知识的研究人员,为涉及多学科参与者的成功团队的创建和可持续性提供信息。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准。
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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Amy McGovern其他文献
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
信任和值得信赖的人工智能:环境科学领域人工智能的研究议程
- DOI:
10.1111/risa.14245 - 发表时间:
2023 - 期刊:
- 影响因子:3.8
- 作者:
Ann Bostrom;J. Demuth;Christopher D. Wirz;Mariana G Cains;Andrea Schumacher;Deianna Madlambayan;A. S. Bansal;A. Bearth;Randy J. Chase;Katherine M. Crosman;I. Ebert‐Uphoff;D. Gagne;Seth Guikema;Robert Hoffman;Branden B Johnson;Christina Kumler;John D. Lee;Anna Lowe;Amy McGovern;Vanessa Przybylo;Jacob T Radford;Emilie Roth;Carly Sutter;Philippe Tissot;Paul Roebber;Jebb Q. Stewart;Miranda C. White;John K. Williams - 通讯作者:
John K. Williams
(Re)Conceptualizing trustworthy AI: A foundation for change
(重新)概念化值得信赖的人工智能:变革的基础
- DOI:
10.1016/j.artint.2025.104309 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:4.600
- 作者:
Christopher D. Wirz;Julie L. Demuth;Ann Bostrom;Mariana G. Cains;Imme Ebert-Uphoff;David John Gagne;Andrea Schumacher;Amy McGovern;Deianna Madlambayan - 通讯作者:
Deianna Madlambayan
Spatiotemporal Relational Probability Trees: An Introduction
时空关系概率树:简介
- DOI:
10.1109/icdm.2008.134 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Amy McGovern;Nathan C. Hiers;Matthew W. Collier;David John Gagne;Rodger A. Brown - 通讯作者:
Rodger A. Brown
The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards
融合研究对于开发针对天气、气候和海洋灾害的可靠人工智能的价值
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Amy McGovern;Julie L. Demuth;Ann Bostrom;Christopher D. Wirz;Philippe Tissot;Mariana G. Cains;Kate D. Musgrave - 通讯作者:
Kate D. Musgrave
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
- DOI:
10.1007/s10618-010-0193-7 - 发表时间:
2010-07-29 - 期刊:
- 影响因子:4.300
- 作者:
Amy McGovern;Derek H. Rosendahl;Rodger A. Brown;Kelvin K. Droegemeier - 通讯作者:
Kelvin K. Droegemeier
Amy McGovern的其他文献
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{{ truncateString('Amy McGovern', 18)}}的其他基金
AI Institute: Artificial Intelligence for Environmental Sciences (AI2ES)
人工智能研究所:环境科学人工智能(AI2ES)
- 批准号:
2019758 - 财政年份:2020
- 资助金额:
$ 0.14万 - 项目类别:
Cooperative Agreement
EAGER: Improving our Understanding of Supercell Storms through Data Science
EAGER:通过数据科学提高我们对超级细胞风暴的理解
- 批准号:
1802627 - 财政年份:2018
- 资助金额:
$ 0.14万 - 项目类别:
Standard Grant
CAREER: Developing Dynamic Relational Models to Anticipate Tornado Formation
职业:开发动态关系模型来预测龙卷风的形成
- 批准号:
0746816 - 财政年份:2008
- 资助金额:
$ 0.14万 - 项目类别:
Continuing Grant
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- 批准号:10774081
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