How Can We Provide Better Simulation-Based Policy Support?

Tolk, Andreas; Clemen, Thomas; Gilbert, Nigel; Macal, Charles M.

doi:10.23919/annsim55834.2022.9859512

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Simulation modeling is a method used in systems science to develop a simplified representation of reality, often used to better understand and anticipate behaviors of the real-life system. Constructing a simulation model to inform policy making requires the recognition that policies are not implemented in physicsbased systems with well characterized causes and effects, but rather policy always works within socio-technical systems [65]. To understand these systems there is a recognized need for better representation of the cultural, economic, and social aspects that are influenced by and are influencing politics [65].…”

Section: Systems Science and Simulation Modeling As A Means For Self-...mentioning

confidence: 99%

“…Constructing a simulation model to inform policy making requires the recognition that policies are not implemented in physicsbased systems with well characterized causes and effects, but rather policy always works within socio-technical systems [65]. To understand these systems there is a recognized need for better representation of the cultural, economic, and social aspects that are influenced by and are influencing politics [65]. Constructing well-formed policy simulation models would require intimate knowledge of lived-experience from communities.…”

Section: Systems Science and Simulation Modeling As A Means For Self-...mentioning

confidence: 99%

See 1 more Smart Citation

Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach

Shaikh

Jeelani²,

Gibbons³

et al. 2023

Int J Equity Health

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Background Systems science approaches like simulation modeling can offer an opportunity for community voice to shape policies. In the episteme of many communities there are elders, leaders, and researchers who are seen as bearers of historic knowledge and can contextualize and interpret contemporary research using knowledge systems of the community. There is a need for a systematic methodology to collaborate with community Knowledge Bearers and Knowledge Interpreters. In this paper we report the results of piloting a systematic methodology for collaborating with a community Knowledge-Bearer and Knowledge-Interpreter to develop a conceptual model revealing the local-level influences and architecture of systems shaping community realities. The use case for this pilot is ‘persistent poverty’ in the United States, specifically within the inner-city African American community in Baltimore City. Methods This pilot of a participatory modeling approach was conducted over a span of 7 sessions and included the following steps, each with an associated script: Step 1: Knowledge-Bearer and Knowledge-Interpreter recruitment Step 2: Relationship building Step 3: Session introduction, Vignette development & enrichment Step 4: Vignette analysis & constructing architecture of systems map Step 5: Augmenting architecture of systems map Results Each step of the participatory modeling approach resulted in artifacts that were valuable for both the communities and the research effort. Vignette construction resulted in narratives representing a spectrum of lived experiences, trajectories, and outcomes within a community. The collaborative analysis of vignettes yielded the Architecture of Systemic Factors map, that revealed how factors inter-relate to form a system in which lived experience of poverty occurs. A literature search provided an opportunity for the community to contextualize existing research about them using realities of lived experience. Conclusion This methodology showed that a community Knowledge Bearer can function as communicators and interpreters of their community’s knowledge base, can develop coherent narratives of lived experiences within which research and knowledge is contextualized, and can collaboratively construct conceptual mappings necessary for simulation modeling. This participatory modeling approach showed that even if there already exists a vast body of research about a community, collaborating with community gives context to that research and brings together disparate findings within narratives of lived experience.

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Section: Systems Science and Simulation Modeling As A Means For Self-...mentioning

confidence: 99%

Section: Systems Science and Simulation Modeling As A Means For Self-...mentioning

confidence: 99%

Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach

Shaikh

Jeelani²,

Gibbons³

et al. 2023

Int J Equity Health

View full text Add to dashboard Cite

show abstract

“…Constructing a simulation model to inform policy making requires the recognition that policies are not implemented in physics-based systems with well characterized causes and effects, but rather policy always works within socio-technical systems. (25) Constructing well-formed policy simulation models would require intimate knowledge of lived-experience from communities. However, because many researchers doing simulation modeling are often not from the communities they are modeling, it is recommended that modeling be done in collaboration with communities.…”

Section: Systems Science and Simulation Modeling As A Means For Self-...mentioning

confidence: 99%

Centering and Collaborating with Community Knowledge Systems: Piloting a Novel Participatory Modeling Approach

Shaikh

Jeelani

Gibbons

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: Systems science approaches like simulation modeling can offer an opportunity for community voice to shape policies. In the episteme of many communities there are elders, leaders, and researchers who are seen as bearers of historic knowledge and can contextualize and interpret contemporary research using knowledge systems of the community. There is a need for a systematic methodology to collaborate with community knowledge bearers and knowledge interpreters. In this paper we report the results of piloting a systematic methodology for collaborating with a community Knowledge-Bearer and Knowledge-Interpreter to develop a conceptual model revealing the local-level influences and architecture of systems shaping community realities. The use case for this pilot is ‘persistent poverty’ in the United States, specifically within the inner-city African American community in Baltimore City. Methods: This pilot of a participatory modeling approach was conducted over a span of 7 sessions and included the following steps, each with an associated script: • Step 1: Knowledge-Bearer and Knowledge-Interpreter recruitment • Step 2: Relationship building • Step 3: Session introduction, Vignette development & enrichment • Step 4: Vignette analysis & constructing architecture of systems map • Step 5: Augmenting architecture of systems map Results: Each step of the participatory modeling approach resulted in artifacts that were valuable for both the communities and the research effort. Vignette construction resulted in narratives representing a spectrum of lived experiences, trajectories, and outcomes within a community. The collaborative analysis of vignettes yielded the Architecture of Systemic Factors map, that revealed how factors inter-relate to form a system in which lived experience of poverty occurs. A literature search provided an opportunity for the community to contextualize existing research about them using realities of lived experience. Conclusion: This methodology showed that a community Knowledge Bearer can function as a communicator and interpreter of their community’s knowledge base, can develop coherent narratives of lived experiences within which research and knowledge is contextualized, and can collaboratively construct conceptual mappings necessary for simulation modeling. This participatory modeling approach showed that even if there already exists a vast body of research about a community, collaborating with community gives context to that research and brings together disparate findings within narratives of lived experience.

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Towards Hybrid Modelling and Simulation Concepts for Complex Socio-technical Systems

Tolk,

Richkus,

Shaikh

2024

Simulation Foundations, Methods and Applications

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How Can We Provide Better Simulation-Based Policy Support?

Cited by 5 publications

References 20 publications

Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach

Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach

Centering and Collaborating with Community Knowledge Systems: Piloting a Novel Participatory Modeling Approach

Towards Hybrid Modelling and Simulation Concepts for Complex Socio-technical Systems

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