System-of-systems approaches for integrated assessments have become prevalent in recent years. Such approaches integrate a variety of models from different disciplines and modeling paradigms to represent a socio-environmental (or social-ecological) system aiming to holistically inform policy and decision-making processes. Central to the system-of-systems approaches is the representation of systems in a multi-tier framework with nested scales. Current modeling paradigms, however, have disciplinary-specific lineage, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. In this paper, a multidisciplinary team of researchers, from engineering, natural and social sciences, have come together to detail socio-technical practices and challenges that arise in the consideration of scale throughout the socio-environmental modeling process. We identify key paths forward, focused on explicit consideration of scale and uncertainty, strengthening interdisciplinary communication, and improvement of the documentation process. We call for a grand vision (and commensurate funding) for holistic system-of-systems research that engages researchers, stakeholders, and policy makers in a multi-tiered process for the co-creation of knowledge and solutions to major socio-environmental problems.

近年来，综合评估的系统方法已变得普遍。这些方法整合了来自不同学科和建模范式的各种模型，以代表社会环境（或社会生态）系统，旨在全面地为政策和决策过程提供信息。系统系统方法的核心是在具有嵌套尺度的多层框架中表示系统。然而，当前的建模范式具有特定于学科的血统，导致社会环境系统的概念化和整合不一致。在本文中，来自工程、自然科学和社会科学的多学科研究人员团队聚集在一起，详细介绍了在整个社会环境建模过程中考虑规模时出现的社会技术实践和挑战。我们确定了关键的前进道路，重点是明确考虑规模和不确定性、加强跨学科沟通以及改进记录流程。我们呼吁为整体系统研究制定宏伟愿景（并提供相应的资金），让研究人员、利益相关者和政策制定者参与多层次的过程，共同创造知识和解决重大社会环境问题。