Collaborative Research: RoL: FELS: Workshop - Rules of Life in the Context of Future Mathematical Sciences

合作研究:RoL:FELS:研讨会 - 未来数学科学背景下的生命规则

基本信息

项目摘要

The RoL: FELS: Collaborative Proposal Workshop - Rules of Life in the Context of Future Mathematical Sciences will be hosted jointly by George Mason University, Ohio State University, and University of Michigan. The conference will be held in Alexandria, Virginia on October 4-6, 2018 and will bring together 50 faculty experts and 30 graduate and post-doctoral students from a variety of fields spanning mathematics and biology. One of the main goals of the conference is to help refine emerging research areas in mathematical biology under the Rules of Life, one of the NSF's ten Big Ideas. The conference will help to promote the exchange of new ideas in mathematical biology, specifically to understand the organizational principles and rules of living systems. This exchange will be accomplished through a variety of activities including keynote presentations, brainstorming affinity mapping activities, faculty lightning talks, student poster presentations and expert panel presentations from agencies and leading mathematical biology institutes. Outcomes of the discussions will be aggregated and refined, ultimately resulting in the publication of a white paper. This white paper will be freely available online, and the conference organizers (PIs Dawes, Eisenberg and Seshaiyer) will further disseminate the ideas in the white paper at other workshops and symposia. The conference will also provide graduate students as well as post-doctoral fellows and new doctoral degree holders with an opportunity to present their research in a setting similar to professional disciplinary conferences.Specific conference activities will focus on topics (not limited to): (a) new and predictive understanding of outcomes of biological processes; (b) understanding the basic rules for the emergence of multicellular structures; (c) understanding regulation of circadian and seasonal rhythms; (d) re-engineering sustainable and resilient biological systems at any scale and; (e) understanding role of social interactions and experiences in reshaping the genome through genetic and epigenetic changes. It is expected that the conference will help to frame comprehensive genome/environment-to-phenome theories with predictive capability that can help design phenotypes to respond to environmental challenges or lead to next generation state-of-the-art technologies. The conference format and broad community participation will develop priority areas in mathematical biology addressing one of the NSF Big Ideas, Understanding the Rules of Life, that will (a) enable discoveries that will allow better understanding of complex biological interactions and identify causal, predictive relationships across scales and (b) help to identify connections between genomic and phenotypic diversity to encompass biological and environmental processes across multiple scales of space and time.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.
角色:FELS:合作提案研讨会-未来数学科学背景下的生活规则将由乔治梅森大学、俄亥俄州州立大学和密歇根大学联合主办。会议将于2018年10月4日至6日在弗吉尼亚州亚历山大市举行,将汇集50名教师专家和30名来自数学和生物学各个领域的研究生和博士后学生。会议的主要目标之一是根据NSF十大思想之一的生命规则,帮助完善数学生物学的新兴研究领域。会议将有助于促进数学生物学新思想的交流,特别是了解生命系统的组织原则和规则。这种交流将通过各种活动,包括主题演讲,头脑风暴亲和力映射活动,教师闪电会谈,学生海报展示和专家小组介绍机构和领先的数学生物学研究所完成。 将汇总和完善讨论结果,最终发表一份白色文件。这份白色文件将在网上免费提供,会议组织者(私人侦探Dawes、Eisenberg和Seshayyer)将在其他讲习班和专题讨论会上进一步传播这份白色文件中的想法。会议还将为研究生以及博士后研究员和新的博士学位持有者提供一个机会,在类似于专业学科会议的环境中展示他们的研究。(不限于):(a)对生物过程结果的新的和预测性的理解;(B)理解多细胞结构出现的基本规则;(c)了解昼夜节律和季节节律的调节;(d)重新设计任何规模的可持续和有复原力的生物系统;(e)了解社会互动和经验在通过遗传和表观遗传变化重塑基因组方面的作用。预计会议将有助于构建具有预测能力的综合基因组/环境-表型理论,这些理论可以帮助设计表型以应对环境挑战或导致下一代最先进的技术。会议的形式和广泛的社区参与将发展数学生物学的优先领域,解决NSF的大思想之一,理解生命的规则,这将(a)使发现,将允许更好地理解复杂的生物相互作用,并确定因果关系,各尺度间的预测关系和(B)有助于确定基因组和表型多样性之间的联系,以涵盖跨多个空间和时间尺度的生物和环境过程。基金会的使命是履行其使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评价,被认为值得支持。

项目成果

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Marisa Eisenberg其他文献

Marisa Eisenberg的其他文献

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{{ truncateString('Marisa Eisenberg', 18)}}的其他基金

Collaborative Research: Efficient Methods for Identifiability of Dynamic Models
协作研究:动态模型可识别性的有效方法
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    1853032
  • 财政年份:
    2019
  • 资助金额:
    $ 1万
  • 项目类别:
    Standard Grant

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