Part of the Self-Complexity Reboot Project

Rebuilding the Science of Identity

A new platform for measuring, visualizing, and analyzing self-complexity across time.

From individual identity mapping to publishable research outputs.

Tool-powered Open science aligned Cross-disciplinary by design

📐 Standardized Measurement Specification for formulas, guidance, and citation.

Identity Space Network visualization of self-aspects across individuals
Identity Space visualization from the dashboard showing connected identity nodes and a detail panel.
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public hub built to reconnect and reboot a fragmented field

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aligned layers: reboot project, research network, and Illinois initiative

applications across psychology, health, education, business, leadership, performing arts, and more

What this is

A Field That Stalled. A System That Didn’t Exist.

Self-complexity has been influential for decades, but difficult to measure, compare, and scale. This platform changes that. It brings together structured identity mapping tools, reproducible measurement systems, interactive network visualizations, and publication-ready outputs in one unified, open framework.

Visual proof

From Self-Mapping to Scientific Insight

The fastest way to understand this ecosystem is to see the workflow. These screens show how identity is mapped, structured, visualized, and translated into research-ready analytics.

Welcome screen of the Everythingist Self-Space app, with two path-selection buttons (Personal/Educational and Research Study) and a Continue button.
01 · Begin

A clear starting point

Whether the user is a research participant or exploring on their own, the app sets up the right session from the very first screen.

Define Your Present Self screen showing the time-period tabs, reflective prompts, and a Software Engineer self-aspect with sliders for descriptiveness, importance, certainty, and visibility.
02 · Build

Define and rate self-aspects

Users specify roles and attributes across past, present, and future, rating each on importance, certainty, descriptiveness, visibility, and emotional valence.

Three side-by-side bubble visualizations comparing Past Self, Present Self, and Future Self identity structures, each showing self-aspects sized by importance and color-coded by tier.
03 · Visualize

See identity restructure across time

Three panels — past, present, future — show how self-aspects shift in centrality, emerge, fade, and reorganize. The visual fingerprint of self-complexity.

Why this matters

This is not just a site. It is an organizing layer for the field.

Most research hubs explain ideas. This one runs the tools alongside them. The app and dashboard are one click away, not buried behind a roadmap.

  • The live tools are the centerpiece — not screenshots, not abstractions
  • A connected workflow from individual mapping through publishable outputs
  • Deeper context in the manifesto, tools, and network pages when you want it
Identity Space view with node details. Dashboard screen showing self-complexity metric profiles and identity strength profile summaries.
Distinctive pairing

Visualize identity as a network. Quantify structure and change.

Identity Space shows self-aspects as a connected network across a cohort. Alongside it, the profile metrics and structured tables provide the quantitative scaffolding — distribution, change, and structure rendered in numbers as well as nodes.

Unified structure

A Unified Effort to Rebuild the Field

This ecosystem works because each layer has a distinct job. Together they create a public-facing network, a larger research movement, and an Illinois-based engine for execution.

Vision

Reboot Project

Revisiting theory, standardizing measurement, and advancing new metrics for the next generation of self-complexity research.

Community

Research Network

A growing collaboration of researchers, students, and developers contributing across disciplines and domains.

Infrastructure

Illinois Initiative

A research engine at the University of Illinois driving tools, studies, training, and future center-building.

Collaboration

Built for a Cross-Disciplinary Future

Self-complexity research extends far beyond psychology. This hub is designed to welcome collaborators wherever identity structure, role organization, development, performance, adaptation, or self-concept matter.

Behavioral and health sciences

Psychology, kinesiology, public health, cognitive science, and related areas examining adaptation, functioning, resilience, and identity.

Education, leadership, and organizations

Researchers exploring professional identity, learning, belonging, leadership development, transition, and self-concept in institutions and teams.

Arts, performance, and applied domains

Performing arts, business, coaching, design, and other applied spaces where identity dynamics shape behavior, creativity, decision-making, and growth.

Explore the platform

Launch the tools directly

This is a launchpad, not a brochure. The app and dashboard are live below — open either one and you're inside the working platform.

Platform access
  1. Launch the Self-Mapping App at /app/
  2. Open the Research Dashboard at /dashboard/
  3. Review the tools page for screenshots, use cases, and the broader workflow

No installation. No accounts. Fully browser-based.

Tutorial video — coming soon A short walkthrough of the app and dashboard is in production. In the meantime, launch either tool to explore directly.
Citable

Citable measurement framework

A dedicated specification page now provides download, citation, and versioned methods framing for psych-oriented scholarship.

Research-ready

Publication-ready outputs

The dashboard is more than a visualization layer. It produces interpretable tables, profiles, and analytic outputs ready for reporting and reuse.

Transparent

Open science aligned

Documentation, inspectable browser-based tools, and OSF-ready resources are part of the platform from day one.

Foundations

Classic theory + modern methods

Literature anchors on one side, working tools on the other. The app and dashboard extend classical self-complexity theory into measurable, inspectable structure.

Open pathway

Specs, preprints, workflows, and OSF-ready materials

Documentation and resources aren't an appendix — they're built into the platform alongside the tools they describe.

Led by Sean P. Mullen, PhD

Led by Sean P. Mullen, PhD

Associate Professor, Health and Kinesiology; Director, Exercise, Technology, and Cognition Laboratory; University of Illinois Urbana-Champaign.

This project integrates research on identity, behavior, and digital health to advance the science and measurement of self-complexity.