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Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
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Investigating resilience in the childcare context through the agent-based paradigm.
Hedan Duan1, Bo Tian2, Diane T Levine1
1School of Criminology, Sociology and Social Policy, University of Leicester, Leicester LE1 7RH, UK.
Child Abuse & Neglect
|March 16, 2025
Summary
This study explores team resilience in child protection professional teams (CPP) using agent-based modeling (ABM). ABM offers a powerful approach to understand and enhance CPP team resilience in challenging environments.
Area of Science:
- Social Sciences
- Computational Social Science
- Psychology
Background:
- Child protection professional teams (CPP) face significant stressors impacting their resilience.
- Understanding multiscale dynamics (individual, team, organizational) is crucial for CPP team resilience.
- Existing research lacks formalization of dynamic interactions influencing resilience in CPP.
Purpose of the Study:
- To explore the complex dynamics of team resilience within CPP.
- To investigate the utility of agent-based modeling (ABM) for studying CPP team resilience.
- To provide guidance on adopting ABM for resilience research in this context.
Main Methods:
- Literature review focusing on team resilience in CPP.
- Exploration of agent-based modeling (ABM) principles and applications.
- Showcasing existing ABM studies in childcare and resilience.
Main Results:
- Agent-based modeling (ABM) is well-suited for capturing the multifaceted nature of team resilience.
- ABM can systematically investigate resilience by modeling dynamic interactions.
- ABM aids in predicting outcomes and developing strategies for enhancing team resilience.
Conclusions:
- Agent-based modeling (ABM) presents a significant potential for advancing the study of team resilience in child protection.
- ABM can inform the development of effective strategies to support CPP teams.
- This approach is vital for ensuring long-term success and well-being in demanding professional settings.
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