Special Issue "Complexity Science in Human Change: Research, Models, Clinical Applications"
Deadline for manuscript submissions: closed (16 November 2021).
Interests: clinical psychology; psychiatry; complexity science; neuroscience; human interfaces
Self-organization and synchronization are common in human interactions. Empirical research finds that regular patterns of interaction arise in all human relations. The therapist-patient relationship can help to highlight further how interactions evolve and can be changed. Attractors describe stable states of a process, e.g. stability or instability of personality and disorders. They can be detected and described based on empirical time series.
Change is studied in phase transitions when dynamics move between different attractors. This might be evident in behaviors, mental states, and neurobiology. Theoretical models can represent dynamical maps of change in mathematical equations and topological structures. Mapping theory to empirical research, and vice versa, is challenging but heuristic.
Social and clinical sciences are also using qualitative research and models of complexity. They can be metaphorical or well linked to empirical data. The status of qualitative research in Complexity Science can be relevant in relation to quantitative approaches.
One of the main features of complexity and self-organization is the presence of scaling and fractal dynamics with emergence of higher order organizations. Human heterogeneous networks present specific kinds of self-similarity in the embodied mind, individual and social dynamics. Human dynamical systems mapping present rugged landscapes still being explored, including deterministic chaos, stochastic indeterminism, quantum field granularities.
Finally, translational processes and procedures from research to applications and vice versa are particularly relevant as they frequently include interdisciplinary collaborations.
Prof. Dr. Franco Orsucci
Prof. Dr. Wolfgang Tschacher
Manuscript Submission Information
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