RCN: Buildig an Organismal Systems-type Modeling Network - OSyM

RCN：构建有机系统类型建模网络 - OSyM

• 批准号: 1754949
• 负责人: Dianna Padilla
• 金额: $ 50万
• 依托单位: SUNY at Stony Brook
• 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: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1754949&HistoricalAwards=false
• 关键词: RCN; Buildig; Organismal; Systems; type

A central mystery in biology is how animals maintain the myriad of complex functions of life, while responding to changing environments. This includes how animals maintain function of all of their component systems (for example the nervous system, muscle and skeletal systems, and others) through development. This also includes how animals respond to their environments throughout their lifetimes and across evolutionary time. Understanding the mechanisms that underlie these responses is a major challenge in biology. This information is not only needed for a basic understanding of biological systems, but also because our ability to predict the features that make animals resilient or inflexible to changing environments is poorly developed. Predicting how animals will respond to environmental change is critical. Around the world this change is impacting many animal species, including those that humans depend on for dietary protein, crop pollination, and ecosystem services. The unprecedented pressures from expanding human populations, habitat destruction and fragmentation, ocean acidification, and environmental change are rapidly changing the environment in which animal species live and understanding and predicting how animals will respond is critical. This project will bring together biologists, engineers, and mathematicians to answer these questions. In addition, this project will provide opportunities for scientists, especially those typically underrepresented in these fields, to attend workshops and participate in research exchange programs. Animals are complex systems of interconnected elements (modules) operating at multiple spatial and temporal scales. Discovering systems-level attributes that make animals resilient or sensitive to change presents a grand challenge for biology. Knowledge of these attributes and the underlying mechanisms controlling them are necessary for predicting how animals will respond to short- and long-term changes in internal and external environments. However, traditional approaches in biology are inadequate for the task. Significant advances can be made by incorporating tools from other disciplines, particularly applied mathematics, engineering, and modelling, but, mechanisms are needed for cross-training and facilitating collaborations at all professional levels among these diverse fields. The creation of the Organismal Systems-type Modeling (OSyM) Network will: 1) Provide mechanisms to build and broaden the community of organismal biologists, mathematicians, modellers, computer scientists, and engineers using integrative, systems-level approaches to investigate stability and change in organismal animal systems and 2) Facilitate development of effective collaborations and the exchange of approaches, skills, and ideas among this community. OSyM will advance discovery and understanding while promoting training and learning through research exchanges and workshops for researchers at all levels, especially those from groups underrepresented in STEM fields. Developing a quantitative understanding of the complex functions and interactions of many aspects of organismal biology requires development of new mathematical and engineering tools. By having engineers, mathematicians, modellers, and biologists working together to solve complex problems, advances will be made in each of these fields, likely leading to development of new bio-inspired devices, materials, and applications.This award was co-funded by the Physiological Mechanisms and Biomechanics and the Integrative Ecological Physiology Programs within the Division of Integrative Organismal Systems.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.

生物学的一个中心谜团是动物如何维持生命的无数复杂功能，同时对不断变化的环境做出反应。 这包括动物如何在发育过程中维持其所有组成系统（例如神经系统、肌肉和骨骼系统等）的功能。 这还包括动物在其一生和整个进化过程中如何应对环境。 了解这些反应背后的机制是生物学的一个重大挑战。 这些信息不仅是对生物系统的基本了解所必需的，而且还因为我们预测动物对不断变化的环境有弹性或不灵活的特征的能力还很薄弱。 预测动物将如何应对环境变化至关重要。在世界各地，这种变化正在影响许多动物物种，包括人类赖以获取膳食蛋白质、作物授粉和生态系统服务的动物物种。人口增长、栖息地破坏和破碎、海洋酸化和环境变化带来的前所未有的压力正在迅速改变动物物种的生存环境，了解和预测动物将如何反应至关重要。 该项目将汇集生物学家、工程师和数学家来回答这些问题。 此外，该项目将为科学家，特别是那些在这些领域代表性不足的科学家提供参加研讨会和研究交流项目的机会。 动物是由相互关联的元素（模块）组成的复杂系统，在多个空间和时间尺度上运行。发现使动物对变化具有弹性或敏感度的系统级属性对生物学来说是一个巨大的挑战。 了解这些属性以及控制它们的潜在机制对于预测动物如何应对内部和外部环境的短期和长期变化是必要的。 然而，传统的生物学方法不足以完成这项任务。 通过整合其他学科的工具，特别是应用数学、工程和建模，可以取得重大进展，但是，需要建立机制来交叉培训并促进这些不同领域之间所有专业级别的合作。 有机系统类型建模（OSyM）网络的创建将：1）提供机制来建立和扩大有机生物学家、数学家、建模师、计算机科学家和工程师的社区，使用综合的系统级方法来研究有机动物系统的稳定性和变化；2）促进该社区之间有效合作的发展以及方法、技能和想法的交流。 OSyM 将通过为各级研究人员（特别是来自 STEM 领域代表性不足的群体的研究人员）举办研究交流和研讨会，促进发现和理解，同时促进培训和学习。对生物体生物学许多方面的复杂功能和相互作用的定量理解需要开发新的数学和工程工具。通过让工程师、数学家、建模师和生物学家共同努力解决复杂的问题，每个领域都将取得进步，可能会导致新的仿生设备、材料和应用的开发。该奖项由综合有机系统部门的生理机制和生物力学以及综合生态生理学项目共同资助。该奖项反映了 NSF 的法定使命，并已被 通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。