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.

研究项目的重点将放在了解我们的气候，其影响所需的数学上，并有助于根据不可避免的变化解决适应和可持续性的紧迫问题。通过该计划，将对四个学生进行培训，以培训来自气候和可持续性发出的最重要的社会和科学问题。这将跨越五年，并包括四个密集的一周夏令营。每个队列将由七个研究生和三名本科生组成。他们将接受协作团队合作的培训，这将使他们在任何涉及数学调查的科学努力中为职业做好准备。每年都会包括在线培训，以便在随后的学年为学生准备夏季训练营和正在进行的焦点研究小组，在此期间，学生将研究应用数学研究生和本科生研究培训的新方法。该计划将基于年度周期，其中每年将从全国的申请人群中汲取新的学生。这些学生将通过该计划进行，并在现代的协作和跨学科研究中获得所需的批判性研究和专业技能培训。为期一年的活动将围绕一个密集的夏令营进行，该夏令营为每个学生和正在进行的基于网络的小组启动该计划。这项工作是数学与气候研究网络（MCRN）与美国数学研究所（AIM）之间的伙伴关系。 MCRN在建立一个网络活动社区方面拥有丰富的经验，该社区保持全年的地理位置分散群体，这将是这项工作的主机环境。 AIM也将提供机构框架。该奖项是由NSF研究训练（NRT）计划共同资助的。 NRT计划旨在鼓励开发和实施STEM研究生教育培训的大胆，新的潜在变革模型。

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

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.

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

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.

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