A Distributed Learning Environment for the Mathematics of Climate and Sustainability

气候和可持续发展数学的分布式学习环境

• 批准号: 1722578
• 负责人: Christopher Jones
• 金额: $ 46.75万
• 依托单位: American Institute of Mathematics
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1722578&HistoricalAwards=false
• 关键词: Distributed; Learning; Environment; Mathematics; Climate

The research project focus will be on the mathematics needed for understanding our climate, its impacts and will help address the pressing issues of adaptation and sustainability in light of inevitable changes. Through this program, four cohorts of students will be trained in the mathematics underlying the all-important societal and scientific issues emanating from climate and sustainability. This will span a five year period and encompass four intensive week-long summer camps. Each cohort will consist of seven graduate and three undergraduate students. They will be trained in collaborative team-work that will prepare them well for a career in any scientific endeavor involving mathematical investigation. Each year will include online training to prepare the students for the summer camp and ongoing focus research groups during the subsequent academic year, during which time the students will work on concrete research problems.A new approach to both graduate and undergraduate student research training in applied mathematics is envisioned. The program will be based around yearly cycles in which a new cohort of students will be drawn from a national pool of applicants each year. The students will be brought through the program and trained in critical research and professional skills needed in the modern world of collaborative and interdisciplinary research. The year-long activities will be built around an intensive summer camp that kicks off the program for each student and ongoing web-based groups through which much of the skill-building and mentoring will take place. The effort is a partnership between the Mathematics and Climate Research Network (MCRN) and the American Institute of Mathematics (AIM). MCRN has considerable experience in building a web-active community that keeps a large geographically dispersed group engaged throughout the year and it will be the host environment for this effort. AIM will provide the institutional framework as well. This award was co-funded by the NSF Research Traineeship (NRT) Program. The NRT Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training.

该研究项目的重点将是了解我们的气候及其影响所需的数学，并将有助于解决不可避免的变化中的适应和可持续性的紧迫问题。通过该计划，四个学生群体将接受气候和可持续性所产生的所有重要社会和科学问题的数学基础培训。这将历时五年，包括四个为期一周的密集夏令营。每个队列将由七名研究生和三名本科生组成。他们将接受团队合作的培训，这将使他们为任何涉及数学调查的科学奋进做好准备。每年将包括在线培训，以准备学生的夏令营和正在进行的重点研究小组在随后的学年，在此期间，学生将工作在具体的研究问题。一种新的方法来研究生和本科生的研究培训应用数学的设想。该计划将围绕年度周期进行，每年将从全国申请人中抽取一批新的学生。学生将通过该计划带来，并在合作和跨学科研究的现代世界所需的关键研究和专业技能的培训。为期一年的活动将围绕密集的夏令营展开，为每个学生和正在进行的基于网络的团体启动该计划，大部分技能培养和指导将通过该计划进行。这项工作是数学与气候研究网络（MCRN）和美国数学研究所（AIM）之间的合作。MCRN在建立一个网络活跃社区方面有相当丰富的经验，该社区使一个地理上分散的大型团体全年参与其中，它将成为这项工作的主机环境。AIM还将提供体制框架。该奖项由NSF研究培训计划（NRT）共同资助。 NRT计划旨在鼓励为STEM研究生教育培训开发和实施大胆的、新的潜在变革性模型。

项目成果

Noise-induced tipping under periodic forcing: Preferred tipping phase in a non-adiabatic forcing regime

• DOI: 10.1063/1.5083973
• 发表时间: 2019-04-01
• 期刊: CHAOS
• 影响因子: 2.9
• 作者: Chen, Yuxin;Gemmer, John A.;Volkening, Alexandria
• 通讯作者: Volkening, Alexandria

Epidemic Conditions with Temporary Link Deactivation on a Network SIR Disease Model

网络 SIR 疾病模型上临时链路停用的流行病

• DOI: 10.30707/spora7.1.1647885542.976088
• 发表时间: 2021
• 期刊: SPORA: A Journal of Biomathematics
• 作者: Hannah Scanlon, Wake Forest

Intensity---A Metric Approach to Quantifying Attractor Robustness in ODEs

强度——量化常微分方程中吸引子鲁棒性的度量方法

• DOI: 10.1137/20m138689x
• 发表时间: 2022
• 期刊: SIAM Journal on Applied Dynamical Systems
• 影响因子: 2.1
• 作者: Meyer, Katherine J.;McGehee, Richard P.
• 通讯作者: McGehee, Richard P.

A study of disproportionately affected populations by race/ethnicity during the SARS-CoV-2 pandemic using multi-population SEIR modeling and ensemble data assimilation

使用多人群 SEIR 模型和集合数据同化对 SARS-CoV-2 大流行期间按种族/族裔影响不成比例的人群进行研究

• DOI: 10.3934/fods.2021022
• 发表时间: 2021
• 期刊: Foundations of Data Science
• 影响因子: 2.3
• 作者: Fleurantin, Emmanuel;Sampson, Christian;Maes, Daniel Paul;Bennett, Justin;Fernandes-Nunez, Tayler;Marx, Sophia;Evensen, Geir
• 通讯作者: Evensen, Geir

On Conditions for Rate-induced Tipping in Multi-dimensional Dynamical Systems

多维动力系统中速率诱发倾翻的条件

• DOI: 10.1007/s10884-019-09730-9
• 发表时间: 2020
• 期刊: Journal of Dynamics and Differential Equations
• 影响因子: 1.3
• 作者: Kiers, Claire;Jones, Christopher K.
• 通讯作者: Jones, Christopher K.