# Complexity Science in Domestic Abuse Literature: A Systematic Scoping Review

## TL;DR

This paper reviews how complexity science has been used to understand domestic abuse, highlighting interdisciplinary approaches and their potential benefits.

## Contribution

The study systematically maps the application of complexity science in domestic abuse research, emphasizing interdisciplinary methods and outcomes.

## Key findings

- Most studies used systems modeling methods like agent-based or systems dynamics modeling.
- Complexity science supports holistic understanding and identifies leverage points for policy.
- Interdisciplinary teams were common, combining computer science, engineering, and social sciences.

## Abstract

Complexity science is an interdisciplinary paradigm that helps people understand how outcomes, such as domestic violence and abuse (DVA), arise from within complex adaptive systems. This study aims to identify how complexity science has been applied in DVA literature. A systematic scoping review was conducted, searching across academic databases and Google for articles. Articles published from 1990 to 2020, written in English, had DVA partner abuse as a focus, and used complexity science as a focus or theoretical background to the paper, were considered for inclusion. Data was extracted and narratively synthesized in an iterative manner. Twenty-one studies were included, originating predominantly from the United States and New Zealand, and published mainly after 2009. Approximately 70% of authorships were comprised of interdisciplinary teams. Most papers strongly incorporated complexity science as a methodological approach and applied methods, such as systems modeling (agent-based modeling or systems dynamics modeling), aligning with computer science or engineering disciplines. Some used complexity theory combined with qualitative techniques (interviews or discourse analysis) strongly associated with social sciences research. Methods and findings were heterogeneous and often explored interactions between parts of the system and the subsequent phenomena that emerged from these interactions. Complexity science can: (a) support a holistic understanding of DVA; (b) combine different perspectives; (c) encourage interdisciplinary teams to work collaboratively around an issue such as DVA; (d) identify leverage points to assist in targeting scarce resources; (e) help predict emergent phenomena and unexpected consequences of policy change.