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Sustainability transitions require systemic change, yet socio-technical systems are complex and interdependent, making transitions non-linear and path-dependent. This chapter explores how systems thinking and complexity science enhance our understanding of transition dynamics, particularly feedback loops, emergent behaviour, and lock-in effects. It reviews key frameworks, including the Multi-Level Perspective (MLP) and Technological Innovation Systems (TIS), and discusses how system dynamics modelling and complex systems approaches can identify leverage points for policy interventions. Case studies illustrate how these methods improve transition research and policymaking. The chapter concludes by highlighting methodological challenges and the need for hybrid models to integrate diverse analytical scales and approaches.
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