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This work, submitted for the Habilitation à Diriger des Recherches (HDR), presents a well-reasoned stance on the necessary alliance between clinical and methodological perspectives as a way forward for theoretical understanting, improved measurement, and better care within the field of mental health and psychopathology. The HDR is grounded in an 'open science' perspective, aiming to enhance psychological practices. This work introduces the application of complex systems approaches, particularly through network modeling of cross-sectional and longitudinal data, in the context of clinical psychology and psychopathology. Exemplified within are applications in the measurement of student mental health (psychological distress, depression, anxiety, and burnout), the risk of psychotic transition in adolescents and young adults in correlation with cognitive functioning, and a cognitive-behavioral therapy (CBT)-oriented psychoeducation program for families and caregivers of individuals with psychotic disorders (Profamille). This work advocates for refined modeling of bio-psycho-social systems, symptom development, and the progression to mental disorders over time, with an emphasis on prevention and early intervention. The discussion addresses issues related to the improved integration of nomothetic and idiographic approaches, the consideration of temporal aspects in phenomena, and the formulation of causal hypotheses and inferences regarding relationships between these phenomena. The need for better alignment in measurement practices across research and clinical care settings is underscored. Finally, this work outlines recent advancements in theory construction in psychopathology through an iterative epistemic process, introducing computational modeling in psychology and theories inspired from complex dynamic systems far from equilibrium. Concepts such as emergence, self-organization, and entropy are highlighted within the context of theoretical models of active inference and autonomous consciousness from cognitive neuroscience. These models are repositioned in relation to Skinner's work and are linked to cognitive and behavioral approaches, particularly contextual ones, within the framework of a predictive cognition model. The importance of embracing a plurality of approaches and methods is emphasized to construct bridges that facilitate a comprehensive understanding of the complexity inherent in clinical and psychopathological phenomena.