Participatory modelling and systems intelligence: A systems-based and transdisciplinary partnership

Kenny, Daniel C.; Bakhanova, Elena; Hämäläinen, Raimo P.; Voinov, Alexey

doi:10.1016/j.seps.2022.101310

Cited by 5 publications

(1 citation statement)

References 139 publications

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“…Finally, due to the above, the versatility of BOs has allowed it to be adopted and applied in multiple research contexts and disciplines, including several branches of applied sciences, from energy transition [42] and computer vision [43], to enterprise architecture [44] and systems intelligence [45]. In all these cases, BOs have proven to be a key tool for addressing complexity and interdisciplinarity, promoting better understanding and collaboration between different stakeholders involved in research and development projects.…”

Section: A Boundary Objectsmentioning

confidence: 99%

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Mejia,

Perelló,

Santos-Boada

et al. 2024

IEEE Access

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The emerging Human-Centric Networks (HCN) paradigm shifts the passive role of individuals to an active one, intertwining the uncertainty of network resource usage with human dynamics, which are difficult to analyze and predict. This phenomenon implies an increase in reciprocal interactions between Cyber-Physical-Social Systems (CPSS) and human activities, presenting the challenge of efficiently allocating network resources while taking into account qualitative human uncertainty. In this study, we propose a conceptual model that addresses and quantifies such uncertainties. The proposed model is characterized by its adaptability to various CPSS applications, facilitating its integration into existing applications and future innovations. The adaptability of the model is based on the application of the sociological concept of Boundary Objects (BO), which allows for the structuring of system components and the generation of a reference architecture that facilitates systematic problem solving. To evaluate the model, we propose a use case related to a Vehicle for Hire (VFH) application operating within a 5G network slice. The integration of the proposed model with the OMNET++ simulation framework has allowed to demonstrate the effectiveness of the model in intricate computational environments and have shown its capacity to incorporate previously overlooked elements that are essential for the optimal allocation of resources in CPSS. This study proposes a methodology for comprehending and mitigating the consequences of human uncertainty, emphasizing the significance of a multidisciplinary approach to resource allocation in sophisticated technological systems.INDEX TERMS Cyber-Physical-Social Systems, human-centric networks, human uncertainty modeling, network slicing.

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Section: A Boundary Objectsmentioning

confidence: 99%

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Mejia,

Perelló,

Santos-Boada

et al. 2024

IEEE Access

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A Competency Framework for Participatory Modeling

et al. 2023

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Participatory modeling (PM) is a craft that is often learned by training ‘on the job’ and mastered through years of practice. There is little explicit knowledge available on identifying and documenting the skills needed to perform PM. In the modeling literature, existing attempts to identify relevant competencies have focused on the specific technical skills required for specific technical model development. The other skills required to organize and conduct the stakeholder process seem to be more vaguely and poorly defined in this context. The situation is complicated by PM being an essentially transdisciplinary craft, with no single discipline or skill set to borrow ideas and recommendations from. In this paper, we aim to set the foundation for both the practice and capacity-building efforts for PM by identifying the relevant core competencies. Our inquiry into this topic starts with reviewing and compiling literature on competencies in problem-solving research areas related to PM (e.g., systems thinking, facilitated model building, operations research, and so forth). We augment our inquiry with results from a PM practitioners’ survey to learn how they perceive the importance of different competencies and how the scope of these competencies may vary across the various roles that participatory modellers play. As a result, we identified five core competency areas essential for PM: systems thinking, modeling, group facilitation, project management and leadership, and, more recently, designing and running virtual workshops and events.

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