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

Abstract

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.