4.7 Article

Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 135, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104885

关键词

Social-ecological modeling; Interdisciplinary modeling; Integrated modeling; Scale issues; System-of-systems approach

资金

  1. National Socio-Environmental Synthesis Center (SESYNC) under the National Science Foundation [DBI-1639145]
  2. Australian Government Research Training Program (AGRTP) Scholarship
  3. ANU Hilda-John Endowment Fund
  4. USDA
  5. ARS [58-3091-6-035]
  6. Texas A&M AgriLife Research
  7. Key Program of NSF of China [41930648]
  8. NSF [EEC 1937012]

向作者/读者索取更多资源

System-of-systems approaches have become popular for integrated assessments, involving the integration of models from various disciplines to inform policy and decision-making processes. However, current modeling paradigms have disciplinary-specific origins, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. A multidisciplinary team of researchers calls for a grand vision for holistic system-of-systems research to address major socio-environmental problems through multi-tiered collaboration.
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 socioenvironmental (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 socioenvironmental 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.

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