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.

生物学上的一个核心谜团是动物如何在对不断变化的环境做出反应的同时，如何维持许多复杂的生活功能。 这包括动物如何通过发育保持其所有组件系统（例如神经系统，肌肉和骨骼系统等）的功能。 这还包括动物在一生中以及整个进化时期如何应对其环境。 了解这些反应的基础的机制是生物学的主要挑战。 这些信息不仅需要对生物系统的基本理解，而且还因为我们预测使动物具有弹性或不适感的环境不灵活的能力的发展。 预测动物将如何应对环境变化至关重要。在世界范围内，这种变化正在影响许多动物物种，包括人类依靠饮食蛋白质，作物授粉和生态系统服务的动物。人群扩大，栖息地破坏和破碎，海洋酸化和环境变化的空前压力正在迅速改变动物物种生活和理解和预测动物将如何反应至关重要的环境至关重要。 该项目将召集生物学家，工程师和数学家回答这些问题。 此外，该项目将为科学家，尤其是那些在这些领域中通常不足的科学家参加研讨会并参加研究交流计划的机会。 动物是在多个空间和时间尺度上运行的互连元素（模块）的复杂系统。发现使动物具有弹性或敏感的变化的系统级属性，这对生物学带来了巨大的挑战。 对于预测动物将如何应对内部和外部环境的短期变化，需要了解这些属性以及控制它们的基本机制。 但是，生物学的传统方法不足以完成任务。 可以通过结合其他学科的工具，尤其是应用数学，工程和建模，但是可以取得重大进展，但是，在这些不同领域的各个专业层面的交叉培训和促进需要进行交叉培训和促进。 有机系统型建模（OSYM）网络的创建将：1）提供机制，以使用综合性，系统级别的方法来构建和扩展有机生物学家，数学家，建模者，计算机科学家和工程师的社区，以研究有机动物系统的稳定性和变化的稳定性和变化的方法，并促进有效的交流和思想，以实现有效的交流和思想，并创造了这种社区，并创造了这些社区，并创造了这些技能，并创造了这种技能。 OSYM将通过研究和研究人员在STEM领域中占有不足的研究人员（尤其是来自人数不足的群体中的研究人员，促进培训和学习的同时，都会提高发现和理解。对生物学许多方面的复杂功能和相互作用进行定量理解，需要开发新的数学和工程工具。通过让工程师，数学家，建模者和生物学家共同努力解决复杂的问题，将在每个领域中取得进步，可能导致新的生物风格的设备，材料和应用的发展。该奖项由生理机械机理和整合生态学的生态学统计学统计学统计学范围内的生物学机械学和统计学的统计学范围内的奖项共同资助。认为值得通过基金会的智力优点和更广泛影响的评论标准来评估值得支持。