5 papers analyzed
These studies suggest that methods used to research power relations include multi-level modeling, multi-player games, agent-based models, simulation, Monte Carlo methods, deep learning techniques like CNN and LSTM, and statistical power analysis.
Research on power relations spans various fields and employs diverse methodologies to understand the dynamics and implications of power in different contexts. This synthesis aims to present the key methods used in studying power relations based on insights from multiple research papers.
Multi-level Modelling and Agent-Based Models:
Deep Learning Techniques:
Statistical Power Analysis:
Simulation and Monte Carlo Methods:
Research Mentoring:
Research on power relations employs a variety of methods, including multi-level modelling, deep learning techniques, statistical power analysis, simulation, and mentoring. These methods help in understanding and managing power dynamics across different contexts and levels of social organization.
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