Who belongs here
Researchers across many domains
Psychology, health, education, business, leadership, arts, design, HCI, data science, and other adjacent areas all have a place here.
Community layer
Self-Complexity Research Network
A public-facing collaboration layer for researchers, students, developers, and interdisciplinary partners who want to advance the science and application of self-complexity.
How people participate
Contribute, collaborate, test, apply
People can join working groups, use the tools, compare methods, share feedback, or collaborate on pilot and multi-site studies.
Why it matters
The field needs a visible coordination layer
The network helps turn scattered interest into an active community with shared language, shared resources, and shared momentum.
Participation pathways
Measurement & methods
Help compare legacy metrics with newer approaches, review specifications, and refine reproducible analytic pipelines.
Study collaboration
Partner on multi-site studies, secondary analyses, implementation pilots, or concept extension into new domains.
Tool building
Contribute to app features, dashboards, visualization systems, interface design, or user testing workflows.
Applied translation
Explore use in classrooms, organizational settings, training environments, health behavior work, and creative practice.
The network works best when people can find their role quickly.
Keep the barrier to entry low. Let people signal interest, domain, and willingness to collaborate, then grow the structure over time.