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Related Experiment Video

Updated: May 26, 2025

A Complex Diving-For-Food Task to Investigate Social Organization and Interactions in Rats
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Complexity Science in Domestic Abuse Literature: A Systematic Scoping Review.

Sarah Blake1, James Nobles2

  • 1The University of Bristol, UK.

Trauma, Violence & Abuse
|February 25, 2025
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Summary

Complexity science offers a holistic approach to understanding domestic violence and abuse (DVA) by examining complex systems. This review shows its application in DVA research, aiding interdisciplinary collaboration and policy insights.

Keywords:
complex adaptive systemscomplex and wicked problemscomplexity sciencecomplexity theorydomestic violence and abuseholistic approachesinterdisciplinary researchintimate partner violencescoping reviewsystems science

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Area of Science:

  • Interdisciplinary research
  • Systems science
  • Social sciences

Background:

  • Domestic violence and abuse (DVA) is a complex social issue.
  • Understanding DVA requires analyzing intricate system dynamics.
  • Complexity science provides a framework for studying such phenomena.

Purpose of the Study:

  • To systematically review the application of complexity science in domestic violence and abuse (DVA) literature.
  • To identify common methodologies and theoretical approaches used.
  • To explore the potential benefits of complexity science in DVA research.

Main Methods:

  • Systematic scoping review of academic databases and Google.
  • Inclusion criteria: 1990-2020, English, DVA focus, complexity science focus.
  • Narrative synthesis of extracted data from 21 included studies.

Main Results:

  • Twenty-one studies published mainly after 2009, primarily from the US and New Zealand.
  • Seventy percent of authorships involved interdisciplinary teams.
  • Methods included systems modeling (agent-based, system dynamics) and qualitative techniques (interviews, discourse analysis).

Conclusions:

  • Complexity science supports a holistic understanding of DVA by integrating diverse perspectives.
  • It fosters interdisciplinary collaboration and identifies leverage points for resource allocation.
  • This approach aids in predicting emergent phenomena and policy consequences.