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AbstractSystem dynamics has long held a promise of solving social problems. Such efforts benefit from interdisciplinary teams that can combine strong technical skills for modeling and analysis with people skills for working with stakeholders and understanding the substantive issues of social problems. In this note we describe a joint graduate system dynamics course between social work and electrical and systems engineering that emphasizes students learning how to develop and work in interdisciplinary teams to address social problems. We discuss the advantages of such teams, some of the challenges, and share lessons from the experience. Copyright © 2009 John Wiley & Sons, Ltd.

AbstractThe economic impact of COVID‐19 threatened mass housing insecurity undermining the health and financial recovery from the pandemic. Unprecedented federal policy responses halted court‐ordered evictions and injected billions of dollars in rental assistance, but questions remain whether housing interventions adequately accounted for dynamics that drive landlord‐tenant interactions, including accumulations of rental and mortgage arrears, rental unit availability, and low‐income housing options. A system dynamics model probes complex feedback dynamics driving tenant and landlord decision‐making in the low‐income rental housing market pre‐ and postpandemic protections. Feedback loops highlight trade‐offs considered by low‐income tenants and landlords in the context of scarcity and uncertainty. Simulations suggest the eviction moratorium and federal emergency rental assistance prevented a tidal wave of evictions, but rental arrears, overcrowding, and homelessness remain elevated. Failure to address underlying financial hardship and limited affordable housing undermines COVID recovery. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

AbstractDomestic violence is a major social problem. In the United States, the failure of communities and police departments to intervene resulted in a push to implement pro‐ and mandatory arrest policies for domestic violence. These policies have led to an unexpected increase in the number of victim arrests. Competing explanations have been offered. This paper describes the development of a system dynamics model of victim arrests. Results of model structure analysis suggest that these policies may have created or strengthened a crossover mechanism that shifts the risk of arrests in domestic violence cases from aggressors to victims. Model analysis also demonstrates how the changing role of cooperation between advocates and police can help explain the trends in victim arrests. Implications for research and policy are discussed. Copyright © 2009 John Wiley & Sons, Ltd.

AbstractDocumenting the process of building a simulation model is different from documenting the simulation model itself. Good model‐building practice includes the discovery of potentially large sets of multimedia data. Organizing and documenting data and the process of collecting it has several advantages including: tightly linking data to its source and the timing of its discovery; separating source data from researcher inference (allowing for independent inspection); maintaining an evolutionary timeline; and easily sharing source data among participants and researchers. The topic of documenting models has been widely discussed. In contrast, this article proposes a data structure and its methods for documenting the process of building a simulation model. © 2022 System Dynamics Society.

Group model building (GMB) is a participatory method for involving stakeholders in the process of developing system dynamics models. GMB has historically consisted of undocumented structured small‐group exercises. This paper describes an effort to document GMB scripts called Scriptapedia, and how documented GMB scripts can be used to design more effective GMB sessions that address cultural and ideological barriers to collaboration. A case study of a project to develop a coordinated community response to domestic violence is used to illustrate the use of scripts for planning collaboration. The paper concludes with a discussion of potential limitations of scripts and implications for future research. Copyright © 2012 John Wiley & Sons, Ltd.

Objectives:Housing insecurity and homelessness contribute to risk of maltreatment among one in five of the nearly 3.5 million children annually investigated for maltreatment in the United States. The Family Unification Program (FUP)—a federal initiative—connects inadequately housed families involved in child welfare with long-term rental subsidies to avoid foster placement. However, FUP remains understudied and underutilized with funding levels that serve only a fraction of eligible households. The present study uses system dynamics modeling to inform decision-making by testing policies for scaling FUP.Method:Simulations model delivery of FUP within child welfare from a feedback perspective. Calibrated on national data, models replicate trends in child welfare involvement from 2013 through 2016, and analyses forecast rates through 2019. Experiments test policies that enhance FUP. Outcomes track system-wide rates of family separation and returns on investment of expanded housing interventions.Results:Dramatic expansions of FUP benefit more families and improve marginal return on investment. Yet, scale-up fails to reduce system-wide rates of family separation or generates substantial cost-savings.Conclusions:Simulations demonstrate structural challenges for scaling FUP. Constant demand for affordable housing constrains sustainable improvements in child protection. Child welfare responses to homelessness require innovations that reduce demand for housing services through prevention and earlier intervention.

In the United States, community coalitions are an important part of the public health milieu, and thus, subject to many of the same external pressures as other organizations—including changes in required strategic orientation. Many funding agencies have shifted their funding agenda from program development to policy change. Thus, the Florida Prevention Research Center created the Community-Based Prevention Marketing (CBPM) for Policy Development framework to teach community coalitions how to apply social marketing to policy change. The research reported here was designed to explicate the framework's theory of change. We describe and demonstrate a hybrid evaluation approach: utilization-focused developmental evaluation. The research question was "What are the linkages and connections among CBPM inputs, activities, immediate outcomes, intermediate outcomes, and ultimate impacts?" We implemented a case study design, with the case being a normative community coalition. The study adhered to a well-developed series of steps for system dynamics modeling. Community coalition leaders may expect CBPM to provide immediate gains in coalition performance. Results from causal diagramming show how gains in performance are delayed and follow an initial decline in performance. We discuss the practical implications for CBPM's developers—for example, importance of managing coalition expectations—and other social marketers—for example, expansion of the evaluation toolkit.