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.

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.

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.

Plug in where you fit, in about two minutes.

Tell us your interests and how you'd like to engage. We'll send a confirmation, a short orientation note, and a quarterly update on software releases, methodological notes, publications, and open collaboration calls.

Join the Network