Advances in System Dynamics and Agent-Based Modeling for Social-Ecological Systems Research

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 3735

Special Issue Editors


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Guest Editor
College of Policy Science, Ritsumeikan University, 2-150 Iwakura-Cho, Ibaraki City, Osaka 567-8570, Japan
Interests: system dynamics; agent-based modeling; social-ecological system; ecological economics; ecosystem services; sustainability science; plastic waste; relational values; stated preference method
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Guest Editor
Systems Science Ph.D. Program, Portland State University, Portland, OR 97201, USA
Interests: ecological economics; sustainability; health systems policy; biomedical dynamics; the software development process; criminal justice systems; supply chain management; organizational dynamics; systems thinking; simulation and optimization methods; teaching

Special Issue Information

Dear Colleagues,

The notion of social–ecological systems (SESs), coupled systems of social and ecological components, has received growing attention. Governance neglecting either of the system components could lead to an undesirable state of both. Therefore, it is critical to understand the dynamic interactions between social and ecological systems. Because SESs are highly complex and often characterized as complex adaptive systems (Folke et al., 2005; Fischer et al., 2015), a computational approach is a sine qua non. System dynamics and agent-based models have served as tools to this end (Nabavi et al., 2017; Schlüter et al., 2019; Schulze et al., 2017).

Collecting state-of-the-art studies in system dynamics and agent-based models for social–ecological systems is highly beneficial to advance the field. We welcome any quality work contributing to the advancement of SESs studies using system dynamics or agent-based modeling, including their applications, modeling methodology, theoretical and conceptual discussion, and reviews.

Prof. Dr. Takuro Uehara
Prof. Dr. Wayne Wakeland
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agent-based modeling
  • system dynamics
  • social–ecological system
  • complex adaptive system
  • ecological economics
  • feedback
  • hybrid modeling
  • leverage
  • non-linear dynamics
  • resilience
  • sustainability transformation

Published Papers (1 paper)

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Review

29 pages, 2085 KiB  
Review
Systematic Review of Agent-Based and System Dynamics Models for Social-Ecological System Case Studies
by Supradianto Nugroho and Takuro Uehara
Systems 2023, 11(11), 530; https://doi.org/10.3390/systems11110530 - 30 Oct 2023
Cited by 1 | Viewed by 2821
Abstract
Social–ecological system (SES) modeling involves developing and/or applying models to investigate complex problems arising from the interactions between humans and natural systems. Among the different types, agent-based models (ABM) and system dynamics (SD) are prominent approaches in SES modeling. However, few SES models [...] Read more.
Social–ecological system (SES) modeling involves developing and/or applying models to investigate complex problems arising from the interactions between humans and natural systems. Among the different types, agent-based models (ABM) and system dynamics (SD) are prominent approaches in SES modeling. However, few SES models influence decision-making support and policymaking. The objectives of this study were to explore the application of ABM and SD in SES studies through a systematic review of published real-world case studies and determine the extent to which existing SES models inform policymaking processes. We identified 35 case studies using ABM, SD, or a hybrid of the two and found that each modeling approach shared commonalities that collectively contributed to the policymaking process, offering a comprehensive understanding of the intricate dynamics within SES, facilitating scenario exploration and policy testing, and fostering effective communication and stakeholder engagement. This study also suggests several improvements to chart a more effective trajectory for research in this field, including fostering interdisciplinary collaboration, developing hybrid models, adopting transparent model reporting, and implementing machine-learning algorithms. Full article
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