POSE: Phase I: Establishing an Open-Source Ecosystem for the Interdisciplinary Networked Community Resilience Modeling Environment (IN-CORE)

该项目由开放源代码生态系统之路（POSE）资助，旨在利用开放源代码开发的力量，为国家和社会重要问题创造新技术解决方案。社区基础设施包括住房结构、电力、供水和污水处理、交通和通信网络——任何社区的经济和社会福利所依赖的所有系统。这些系统容易受到自然灾害的破坏，例如飓风和洪水、龙卷风、野火、地震和海啸。除经济损失外，对社区有形基础设施的破坏已显示对其社会制度产生重大影响。社区恢复力规划包括社区对破坏性事件的准备、响应和恢复。从最近联邦、州和地方各级在增强抗灾能力方面的大量财政投资以及与灾害有关的科学和技术的进步可以看出，增强社区的抗灾能力仍然是国家的当务之急。IN-CORE是一个开源的综合环境，可以对社区的物理、社会和经济系统进行建模。该项目包括各种基础设施系统内部和之间复杂的相互依赖关系。随着自然灾害的增加，适应、减轻和改进这些系统的必要性变得至关重要。拟议的in - core开源生态系统（OSE）项目将通过利用开源的力量和广度，导致弹性建模科学的快速加速和采用。研究人员将能够使用科学算法和相互依赖关系来检查社区内物理、社会和经济系统中未被发现的间接相互依赖关系。生态系统提供的数据集可用于验证和验证新模型和实现。最后，生态系统将形成弹性研究的事实本体和标准。该项目的影响包括开发基于科学的、经过验证的工具，这些工具是制定基于风险和弹性的政策决策所必需的。这些工具包括在社区一级量化政策决定的影响的能力，以及随着时间的推移对人口和地方经济的影响。这种为长期定量规划执行“假设”情景的能力将由这个OSE项目实现。在这个NSF POSE第一阶段项目中，团队将首先在项目参与者和主要利益相关者之间主持焦点小组会议，以实施成功的指标并参与社区建设。创始开源生态系统（OSE）委员会将与咨询资源合作，以确定适当的组织和治理模型，并在整个项目中持续参与。项目活动将以最终细化治理结构和确定扩展OSE的方法而告终。in - core模型是开源驱动的，这些模型的改进/添加将对研究和研究生教育产生更广泛的影响。具体而言，学生能够利用IN-CORE作为他们的论文和学位论文的计算环境，研究者能够撰写提案和完成研究项目，并能够培训IN-CORE用户作为顾问。IN-CORE生态系统需要审查和验证与社区弹性相关的科学，因此，虽然代码贡献可能具有非常好的质量和良好的功能，但科学贡献也必须得到贡献者的充分验证。其次，数据对生态系统的贡献非常重要，因此数据的知识产权管理与软件知识产权一样重要。然而，我们认识到严格的审查过程可能会阻碍对生态系统的贡献。因此，IN-CORE OSE将考虑如何在鼓励贡献的同时保持贡献的科学质量/有效性。第一阶段的POSE项目是平衡IN-CORE OSE这些复杂和相互冲突需求的理想环境。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。

This project is funded by Pathways to Enable Open-Source Ecosystems (POSE) which seeks to harness the power of open-source development for the creation of new technology solutions to problems of national and societal importance. Community infrastructure includes housing structures, electrical power, water and wastewater, transportation, and communication networks - all systems on which the economic and social well-being of any community depend. These systems are susceptible to damage due to natural hazards, such as hurricanes and floods, tornadoes, wildfires, earthquakes, and tsunamis. In additional to economic losses, damage to a community’s physical infrastructure has been shown to have a significant impact on its social systems. Community resilience planning encompasses the community’s preparedness, response to and recovery from a damaging event. Enhancing community resilience remains a national imperative as reflected in recent significant financial investments in resilience enhancement at federal, state, and local levels and progress in disaster-related science and technology. IN-CORE is an open-source, comprehensive environment that can model a community across its physical, social, and economic systems. The project includes the complex interdependencies within and across various infrastructure systems. The need to adapt, mitigate, and improve these systems has become critical as the natural disasters increase. The proposed open-source ecosystem (OSE) project for IN-CORE will result in a rapid acceleration and adoption of the science of resilience modeling by harnessing the power and breadth of open-source. Researchers will be able to examine undiscovered and indirect interdependencies of the physical, social, and economic systems within a community using scientific algorithms and interdependencies. The datasets provided by the ecosystem can be used for validation and verification of new models and implementations. Finally, the de facto ontology and standards for resilience research will be formed by the ecosystem. The project’s impacts include the development of science-based, validated tools that are needed to make risk- and resilience-informed policy decisions. These tools include the ability to quantify the effects of policy decisions at the community level, and on the population and local economy over time. This ability to perform “what if” scenarios for long-term quantitative planning will be enabled by this OSE project.In this NSF POSE Phase I project the team will begin by hosting focus group meetings among project participants and key stakeholders to operationalize metrics for success and engage in community building. The founding open-source ecosystem (OSE) committee will partner with a consulting resource to identify appropriate organizational and governance models with continued engagement throughout the project. Project activities will culminate with a final refinement of the governance structure and identification of methods for scaling the OSE. IN-CORE models are open source-driven and improvement/additions in these models will enable broader impacts in both research and graduate education. Specifically, the ability for students to utilize IN-CORE as the computational environment for their theses and dissertations, investigators to write proposals and complete research projects, and enable training of IN-CORE users who can serve as consultants. The IN-CORE ecosystem requires review and validation of science related to community resilience and thus while the code contribution may be of very good quality and good functionality, the scientific contribution must also be fully validated by the contributor. Secondly, the data contribution to ecosystems is very important, and therefore IP management for data is as equally important as the software IP. However, we recognize that a rigorous review process could hinder contributions to the ecosystem. Therefore, the IN-CORE OSE will consider how to maintain the scientific quality/validation of the contributions while encouraging the contributions. This Phase I POSE project is an ideal setting to balance these complex and conflicting needs for the IN-CORE OSE.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.