NSF-Simons Southeast Center for Mathematics and Biology

NSF-西蒙斯东南数学和生物学中心

• 批准号: 1764406
• 负责人: Christine Heitsch
• 金额: $ 500万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764406&HistoricalAwards=false
• 关键词: NSF; Simons; Southeast; Center; Mathematics

This award promotes the mathematics of complex biosystems by establishing the NSF-Simons Southeast Center for Mathematics and Biology (SCMB) at the Georgia Institute of Technology. The SCMB is a regional center with national impact whose defining mission is connecting mathematical theory with biosystems data. The core Center activity is catalyzing new research collaborations at the mathematics-biology interface with a collective focus on understanding emergent properties at critical genome-to-phenome junctures. This is complemented by a strong interdisciplinary training component, with an emphasis on enabling trainees to initiate new transdisciplinary collaborations as they progress in their research careers, and is supplemented by educational outreach and convening research activities. In these ways, SCMB is addressing the challenge of building research capacity at the mathematics-biology interface by driving discoveries that propel both fields forward into new territory.The NSF-Simons Southeast Center for Mathematics and Biology recognizes that diverse sources of data require diverse theoretical approaches and that novel data structures acquired from biological systems spur mathematical growth. Moreover, the Center has identified its fundamental challenge as developing mathematics-biology research collaborations that advance the frontiers of both disciplines. The Center is structured around a collection of seed projects defined by research questions of interest to both interdisciplinary mathematicians and biosystems experimentalists that address critical aspects of emergence between genetic information and phenotypic traits. Participating biosystems faculty have research interests ranging from molecular cell biology to behavioral dynamics, and they bring substantial quantitative modeling and computational analysis expertise to the Center. Participating mathematicians have prior interdisciplinary experience and many research interests in common, including foundational areas with considerable untapped potential in biosystems applications. By actively matching experimentalists and mathematicians, SCMB is catalyzing new mathematics-biology collaborations. These novel interdisciplinary teams will mentor trainees with an emphasis on building interactional expertise. Educational outreach will build workforce capacity by priming the mathematics-biology pipeline, and convening activities will establish a national center of gravity in the Southeast for the mathematics of complex biosystems.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.

该奖项通过在格鲁吉亚理工学院建立NSF-西蒙斯东南数学和生物学中心（SCMB）来促进复杂生物系统的数学。SCMB是一个具有全国影响力的区域中心，其定义使命是将数学理论与生物系统数据联系起来。该中心的核心活动是催化新的研究合作，在南极洲生物学接口与集体重点了解紧急属性在关键基因组到表型结合点。这是由一个强大的跨学科培训组成部分，重点是使学员能够启动新的跨学科合作，因为他们在他们的研究生涯的进展，并辅之以教育推广和召集研究活动。通过这些方式，SCMB通过推动发现，推动两个领域前进到新的领域，解决了在南极学-生物学接口建设研究能力的挑战。NSF-西蒙斯东南数学和生物学中心认识到，不同的数据来源需要不同的理论方法，从生物系统获得的新数据结构刺激数学的发展。此外，该中心已确定其基本挑战是发展推进两个学科前沿的植物学-生物学研究合作。该中心是围绕一系列种子项目的结构，这些项目是由跨学科数学家和生物系统实验学家感兴趣的研究问题定义的，这些问题解决了遗传信息和表型性状之间出现的关键方面。参与的生物系统教师的研究兴趣从分子细胞生物学到行为动力学，他们为中心带来了大量的定量建模和计算分析专业知识。参与的数学家有以前的跨学科经验和许多共同的研究兴趣，包括在生物系统应用中具有相当大的未开发潜力的基础领域。通过积极匹配实验学家和数学家，SCMB正在催化新的生物学-生物学合作。这些新颖的跨学科团队将指导学员，重点是建立跨学科的专业知识。教育推广将通过启动植物学-生物学管道来建立劳动力能力，召集活动将在东南部建立复杂生物系统数学的国家重心。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Mechanical diffraction reveals the role of passive dynamics in a slithering snake

机械衍射揭示了被动动力学在蛇滑行中的作用

• DOI: 10.1073/pnas.1808675116
• 发表时间: 2019
• 期刊: Proceedings of the National Academy of Sciences
• 作者: Schiebel, Perrin E.;Rieser, Jennifer M.;Hubbard, Alex M.;Chen, Lillian;Rocklin, D. Zeb;Goldman, Daniel I.
• 通讯作者: Goldman, Daniel I.

Moving sidewinding forward: optimizing contact patterns for limbless robots via geometric mechanics

向前迈进：通过几何力学优化无肢机器人的接触模式

• DOI: 10.15607/rss.2021.xvii.031
• 发表时间: 2021
• 期刊: Robotics: Science and Systems
• 作者: Chong, Baxi;Wang, Tianyu;Lin, Bo;Li, Shengkai;Choset, Howie;Blekherman, Grigoriy;Goldman, Daniel
• 通讯作者: Goldman, Daniel

Optimizing coordinate choice for locomotion systems with toroidal shape spaces

优化具有环形空间的运动系统的坐标选择

• DOI: 10.1109/iros45743.2020.9341476
• 发表时间: 2020
• 期刊: Conference on Intelligent Robots and Systems
• 作者: Lin, Bo;Chong, Baxi;Ozkan-Aydin, Yasemin;Aydin, Enes;Choset, Howie;Goldman, Daniel I.;Blekherman, Greg
• 通讯作者: Blekherman, Greg

Activation Landscapes as a Topological Summary of Neural Network Performance

激活景观作为神经网络性能的拓扑总结

• DOI: 10.1109/bigdata52589.2021.9671368
• 发表时间: 2021
• 期刊: 2021 IEEE International Conference on Big Data (Big Data
• 作者: Wheeler, Matthew;Bouza, Jose;Bubenik, Peter
• 通讯作者: Bubenik, Peter

Reconstruction of Backbone Curves for Snake Robots

• DOI: 10.1109/lra.2021.3062331
• 发表时间: 2021-04-01
• 期刊: IEEE ROBOTICS AND AUTOMATION LETTERS
• 影响因子: 5.2
• 作者: Wang, Tianyu;Lin, Bo;Choset, Howie
• 通讯作者: Choset, Howie