Frameworks: Collaborative Research: Integrative Cyberinfrastructure for Next-Generation Modeling Science

框架：协作研究：下一代建模科学的综合网络基础设施

• 批准号: 2103905
• 负责人: C Michael Barton
• 金额: $ 368.65万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2103905&HistoricalAwards=false
• 关键词: Frameworks; Collaborative; Research; Integrative; Cyberinfrastructure

This project is designed to support and advance next generation, interdisciplinary science of the complexly interacting societal and natural processes that are critical to human life and well-being. Computational models are powerful scientific tools for understanding these coupled social-natural systems and forecasting their future conditions for evidenced-based planning and policy-making. This project is led by the Network for Computational Modeling in Social and Ecological Sciences (CoMSES.Net). CoMSES.Net's science gateway promotes knowledge sharing among scientists and with the general public, and enables open, online access to sophisticated computational models of social and ecological systems. CoMSES.Net's partners in this project (the Community Surface Dynamics Modeling System and Consortium of Universities for the Advancement of Hydrologic Science) also enable knowledge sharing and provide open, online repositories of models in the earth sciences. This project will enhance these science gateways and create online educational materials to make these critical technologies easier to find, understand, and use for scientists and non-scientists alike. By integrating innovative technology with training and incentives to engage in best practice standards, this project will stimulate innovation and diversity in modeling science. It will enable researchers to build on each other's work and combine it in new ways to address societal and environmental challenges. The cybertools and educational programs developed in the project will be openly accessible not just to research institutions but also to smaller colleges, state and local governments, and a broader audience beyond the science community. The project will give decision-makers and the data scientists who support them access to a larger and more varied toolkit with which to explore potential solutions to societal and environmental policy issues. A long-term aim of the project is to support an evolving ecosystem of diverse, reusable, and combinable models that are transparently accessible to anyone in the world. Sustainable planetary care and management is a challenge that confronts all of humanity, and requires knowledge, histories, methods, perspectives, and engagement of researchers, decision-makers, and private citizens across the country and throughout the world.The project will develop an Integrative Cyberinfrastructure Framework (ICF) to enable innovative next-generation modeling of human and natural systems, and build capacity in modeling science. It will support a set of activities that integrate the human and technological components of cyberinfrastructure. 1) Software tools will be developed that augment model codebases with modern software development scaffolding to facilitate reuse, integration, and validation of model code. 2) The project will provide high-throughput computing (HTC) resources for simultaneously running numerous iterations of models needed to capture stochastic variability, explore a parameter space, and generate alternative scenarios; 3) Online training activities will build expertise and capacity to make effective use of the cybertools and the HTC resources; 4) The ICF will engage a global modeling science community to provide professional incentives that encourage researchers to adopt best practices and catalyze innovative science. Leveraging existing NSF investments, the ICF will be developed and deployed by the Network for Computational Modeling in Social and Ecological Sciences (CoMSES.Net), in partnership with the Community Surface Dynamics Modeling System (CSDMS), Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI), Open Science Grid, Big Data Hub/Spoke network, and Science Gateways Community Institute. Computational models have emerged as powerful scientific tools for understanding coupled social-biogeophysical systems and generating forecasts about future conditions under a range of climate, biogeophysical, and socioeconomic conditions. CoMSES.Net, CSDMS, and CUASI are scientific networks, with online science gateways and code archives that enable open access to computational models for an international community of social, ecological, environmental, and geophysical scientists. However, the full value of accessible, well-documented models only can be realized if their code is also widely reproducible and reusable, with a potential for integration with other models. In order to confront critical challenges for understanding the coupled human and natural systems of today's world, modeling scientists also need HTC environments for upscaling models and exploring high-dimensional parameter spaces inherent in representing these systems. The ICF is designed to meet these challenges. By integrating technology with intellectual capacity-building, the ICF will stimulate innovation and diversity in modeling science by letting creative researchers build on each other's work more readily and combine it in new ways to address societal-environmental challenges we have not yet perceived. The tools and training resources will be openly accessible not just to leading research institutions but also to the many smaller colleges, state and local governments, and a broader audience beyond science. They will provide decision-makers and the data scientists who support them access to a much larger and more varied toolkit with which to explore potential solution spaces to social and environmental policy issues. The proposed ICF is also designed to help transform scientific modeling practice, including incentives that can help early career researchers shift from creating models to solve problems specific to a particular project to models that are also useful for others. The project will help support a future evolving ecosystem of diverse, reusable, and integrable models that are transparently accessible to the broader community.This project is funded by the Office of Advanced Cyberinfrastructure in the Directorate for Computer and Information Science and Engineering, with the Division of Social and Economic Sciences in the Directorate for Social, Behavioral & Economic Sciences also contributing funds.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.

该项目旨在支持和推进对人类生活和福祉至关重要的复杂相互作用的社会和自然过程的下一代跨学科科学。计算模型是理解这些耦合的社会-自然系统和预测其未来条件的强大科学工具，用于基于证据的规划和决策。该项目由社会与生态科学计算建模网络（CoMSES.Net）领导。铺盖。Net的科学门户促进了科学家之间以及与公众之间的知识共享，并使人们能够开放地在线获取社会和生态系统的复杂计算模型。铺盖。Net在该项目的合作伙伴（社区地表动力学建模系统和促进水文科学大学联盟）也使知识共享成为可能，并提供地球科学模型的开放在线存储库。该项目将加强这些科学门户，并创建在线教育材料，使这些关键技术更容易被科学家和非科学家发现、理解和使用。通过将创新技术与培训和激励措施结合起来，以参与最佳实践标准，该项目将刺激建模科学的创新和多样性。它将使研究人员能够以彼此的工作为基础，并以新的方式将其结合起来，以应对社会和环境挑战。该项目开发的网络工具和教育项目将不仅对研究机构开放，而且对较小的大学、州和地方政府以及科学界以外的更广泛的受众开放。该项目将为决策者和支持他们的数据科学家提供一个更大、更多样化的工具包，用于探索社会和环境政策问题的潜在解决方案。该项目的长期目标是支持世界上任何人都可以透明地访问的多样化、可重用和可组合模型的不断发展的生态系统。可持续的地球关怀和管理是全人类面临的一项挑战，需要知识、历史、方法、观点以及全国乃至全世界的研究人员、决策者和普通公民的参与。该项目将开发一个综合网络基础设施框架（ICF），以实现创新的下一代人类和自然系统建模，并建设建模科学的能力。它将支持一系列整合网络基础设施的人力和技术组件的活动。1)将开发软件工具，用现代软件开发脚手架来增加模型代码库，以促进模型代码的重用、集成和验证。2)该项目将提供高通量计算（HTC）资源，以同时运行捕获随机变异性所需的模型的多次迭代，探索参数空间，并生成替代场景；3)在线培训活动将建立有效利用网络工具和HTC资源的专业知识和能力；4) ICF将与全球建模科学界合作，提供专业激励，鼓励研究人员采用最佳实践并催化创新科学。利用现有的NSF投资，ICF将由社会和生态科学计算建模网络（CoMSES）开发和部署。Net)，与社区地表动力学建模系统（CSDMS）、水文科学促进大学联盟（CUAHSI）、开放科学网格、大数据中心/辐条网络和科学网关社区研究所合作。计算模型已经成为理解耦合的社会-生物地球物理系统和在一系列气候、生物地球物理和社会经济条件下对未来条件进行预测的强大科学工具。铺盖。Net、CSDMS和CUASI是科学网络，具有在线科学网关和代码档案，可以为国际社会、生态、环境和地球物理科学家开放访问计算模型。然而，只有当它们的代码具有广泛的可再现性和可重用性，并具有与其他模型集成的潜力时，可访问的、文档完备的模型的全部价值才能实现。为了面对理解当今世界耦合的人类和自然系统的关键挑战，建模科学家还需要HTC环境来升级模型并探索表征这些系统所固有的高维参数空间。ICF旨在应对这些挑战。通过将技术与智力能力建设相结合，ICF将刺激建模科学的创新和多样性，让有创造力的研究人员更容易地以彼此的工作为基础，并以新的方式将其结合起来，以应对我们尚未意识到的社会-环境挑战。这些工具和培训资源不仅对领先的研究机构开放，而且对许多较小的学院、州和地方政府以及科学界以外的更广泛的受众开放。它们将为决策者和数据科学家提供一个更大、更多样化的工具包，帮助他们探索社会和环境政策问题的潜在解决方案空间。拟议的ICF还旨在帮助转变科学建模实践，包括可以帮助早期职业研究人员从创建模型来解决特定项目的特定问题转向对其他人也有用的模型的激励措施。该项目将有助于支持未来发展的多样化、可重用和可集成模型的生态系统，这些模型对更广泛的社区透明地可访问。该项目由计算机和信息科学与工程理事会的先进网络基础设施办公室资助，社会、行为和经济科学理事会的社会和经济科学司也提供资金。该奖项反映了美国国家科学基金会的法定使命，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估，被认为值得支持。

项目成果

Making Models FAIR: An educational initiative to build good ABM practices

让模型公平：一项旨在建立良好 ABM 实践的教育计划

• 发表时间: 2023
• 期刊: Review of artificial societies and social simulation
• 作者: Janssen, M.A.;Claborn, K.;Edmonds, B.;Shahbaznezhadfard, M.;Vanegas Ferro, M.
• 通讯作者: Vanegas Ferro, M.

Containerization for creating reusable model code

用于创建可重用模型代码的容器化

• DOI: 10.18174/sesmo.18074
• 发表时间: 2021
• 期刊: Socio-Environmental Systems Modelling
• 作者: Vanegas Ferro, Manuela;Lee, Allen;Pritchard, Calvin;Barton, C. Michael;Janssen, Marco A.
• 通讯作者: Janssen, Marco A.