Novel participatory methods for co-building an agent-based model of physical activity with youth

Public health scholarship has increasingly called for the use of system science approaches to understand complex problems, including the use of participatory engagement to inform the modeling process. Some system science traditions, specifically system dynamics modeling, have an established participatory practice tradition. Yet, there remains limited guidance on engagement strategies using other modeling approaches like agent-based models. Our objective is to describe how we engaged adolescent youth in co-building an agent-based model about physical activity. Specifically, we aim to describe how we communicated technical aspects of agent-based models, the participatory activities we developed, and the resulting visual diagrams that were produced. We implemented six sessions with nine adolescent participants. To make technical aspects more accessible, we used an analogy that linked core components of agent-based models to elements of storytelling. We also implemented novel, facilitated activities that engaged youth in the development, annotation, and review of graphs over time, geographical maps, and state charts. The process was well-received by the participants and helped inform the basic structure of an agent-based model. The resulting visual diagrams created space for deeper discussion among participants about patterns of daily activity, important places for physical activity, and interactions between social and built environments. This work lays a foundation to develop and refine engagement strategies, especially for translating qualitative insights into quantitative model specifications such as 'decision rules'.

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Publication Details

Journal
UNC Libraries
Published
2025-02-06
DOI
https://doi.org/10.17615/pzt5-ck27
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Novel participatory methods for co-building an agent-based model of physical activity with youth

Jill Kuhlberg, Giselle Corbie‐Smith, Damie Jackson-Diop, Gretchen Mason et al.
UNC Libraries
Human Mobility and Location-Based Analysis
article

Novel participatory methods for co-building an agent-based model of physical activity with youth

Jill Kuhlberg, Giselle Corbie‐Smith, Damie Jackson-Diop, Gretchen Mason, Doris Stith, Kristen Hassmiller Lich, Leah Frerichs, Natalie Smith
article en

Abstract

Public health scholarship has increasingly called for the use of system science approaches to understand complex problems, including the use of participatory engagement to inform the modeling process. Some system science traditions, specifically system dynamics modeling, have an established participatory practice tradition. Yet, there remains limited guidance on engagement strategies using other modeling approaches like agent-based models. Our objective is to describe how we engaged adolescent youth in co-building an agent-based model about physical activity. Specifically, we aim to describe how we communicated technical aspects of agent-based models, the participatory activities we developed, and the resulting visual diagrams that were produced. We implemented six sessions with nine adolescent participants. To make technical aspects more accessible, we used an analogy that linked core components of agent-based models to elements of storytelling. We also implemented novel, facilitated activities that engaged youth in the development, annotation, and review of graphs over time, geographical maps, and state charts. The process was well-received by the participants and helped inform the basic structure of an agent-based model. The resulting visual diagrams created space for deeper discussion among participants about patterns of daily activity, important places for physical activity, and interactions between social and built environments. This work lays a foundation to develop and refine engagement strategies, especially for translating qualitative insights into quantitative model specifications such as 'decision rules'.

UNC Libraries
University of North Carolina at Chapel Hill (US)
National Institutes of Health, Carolina Population Center, University of North Carolina at Chapel Hill
Reduced inequalities
Openalex Percentile: Top 98%
Human Mobility and Location-Based Analysis
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