TY - JOUR
T1 - Socio-technical scales in socio-environmental modeling
T2 - Managing a system-of-systems modeling approach
AU - Iwanaga, Takuya
AU - Wang, Hsiao Hsuan
AU - Hamilton, Serena H.
AU - Grimm, Volker
AU - Koralewski, Tomasz E.
AU - Salado, Alejandro
AU - Elsawah, Sondoss
AU - Razavi, Saman
AU - Yang, Jing
AU - Glynn, Pierre
AU - Badham, Jennifer
AU - Voinov, Alexey
AU - Chen, Min
AU - Grant, William E.
AU - Peterson, Tarla Rai
AU - Frank, Karin
AU - Shenk, Gary
AU - Barton, C. Michael
AU - Jakeman, Anthony J.
AU - Little, John C.
N1 - Funding Information:
This work was supported by the National Socio-Environmental Synthesis Center ( SESYNC ) under funding received from the National Science Foundation DBI-1639145 . The primary author (Takuya Iwanaga) is supported through an Australian Government Research Training Program (AGRTP) Scholarship and a top-up scholarship from the ANU Hilda-John Endowment Fund. Hsiao-Hsuan Wang and Tomasz E. Koralewski acknowledge partial support from USDA , ARS Agreement No. 58-3091-6-035 with Texas A&M AgriLife Research, titled ‘Areawide pest management of the invasive sugarcane aphid in grain sorghum, regional population monitoring and forecasting.’ Min Chen is supported by the Key Program of NSF of China (No. 41930648 ). John Little acknowledges partial support from NSF Award EEC 1937012. The authors would like to thank the three anonymous reviewers and Prof. Randall Hunt (USGS) for their constructive feedback and comments. The authors additionally thank Faye Duchin and Adrian Hindes for comments provided on an earlier draft.
Funding Information:
This work was supported by the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1639145. The primary author (Takuya Iwanaga) is supported through an Australian Government Research Training Program (AGRTP) Scholarship and a top-up scholarship from the ANU Hilda-John Endowment Fund. Hsiao-Hsuan Wang and Tomasz E. Koralewski acknowledge partial support from USDA, ARS Agreement No. 58-3091-6-035 with Texas A&M AgriLife Research, titled ‘Areawide pest management of the invasive sugarcane aphid in grain sorghum, regional population monitoring and forecasting.’ Min Chen is supported by the Key Program of NSF of China (No. 41930648). John Little acknowledges partial support from NSF Award EEC 1937012. The authors would like to thank the three anonymous reviewers and Prof. Randall Hunt (USGS) for their constructive feedback and comments. The authors additionally thank Faye Duchin and Adrian Hindes for comments provided on an earlier draft. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Integrated modeling
KW - Interdisciplinary modeling
KW - Scale issues
KW - Social-ecological modeling
KW - System-of-systems approach
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U2 - 10.1016/j.envsoft.2020.104885
DO - 10.1016/j.envsoft.2020.104885
M3 - Article
AN - SCOPUS:85093068074
SN - 1364-8152
VL - 135
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 104885
ER -