ArticlePloS one2020
Novel participatory methods for co-building an agent-based model of physical activity with youth.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Understanding and Addressing Severe Maternal Morbidity Among Black Women in Texas: Findings From a System Dynamics Group Model Building Study.Journal of racial and ethnic health disparities · 2026Article
- Engaging youth in systems thinking for active recreation: piloting a Collective Intelligence approach.Health promotion international · 2026Article
- Article
- Leveraging group model building to operationalize implementation strategies across implementation phases: an exemplar related to child maltreatment intervention selection.Implementation science communications · 2024Article
- Applications of agent-based modeling in trauma research.Psychological trauma : theory, research, practice and policy · 2023Article
- Addressing Health Disparities through Community Participation: A Scoping Review of Co-Creation in Public Health.Healthcare (Basel, Switzerland) · 2023Article
- Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach.International journal for equity in health · 2023Article
- A scoping review of complex systems methods used in population physical activity research: do they align with attributes of a whole system approach?Health research policy and systems · 2023Article
- A scoping review of systems approaches for increasing physical activity in populations.Health research policy and systems · 2022Article
- Applications of Complex Systems Models to Improve Retail Food Environments for Population Health: A Scoping Review.Advances in nutrition (Bethesda, Md.) · 2022Article
- How can an agent-based model explore the impact of interventions on children's physical activity in an urban environment?Health & place · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.