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Iyaboko Institute
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Join the Iyaboko Institute

We are building Iyaboko ScienceReforming-Universe Science under the Totakabo framework (12 Laws), unifying science, technology, law, and AI into a practical, measurable system aligned with living cosmic nature. If you want to help build a sustainable framework for long-living cosmic systems and human futures, you are welcome here.

Researchers Engineers AI Builders Partners Supporters

Core statement: We are committed to transforming conventional frameworks into a meaningful, adaptable, sustainable, and practically applicable scientific system for long-living cosmic nature—through Iyaboko Science under the Totakabo framework.

Who Can Join

Pick the role that fits you. Start small. Deliver measurable work. Grow step-by-step.

Research Contributors

Help write and validate Iyaboko Science research notes and structured methods.

  • Work: literature, hypotheses, datasets
  • Output: papers with limits + replication notes
  • Focus: Totakabo 12 laws as constraints

Engineering Builders

Prototype design, instrumentation, simulation, and safe testing pipelines.

  • Work: CAD, circuits, sensors, code
  • Output: prototype briefs + test logs
  • Gate: DAKIDA thresholds before scale

AI & Systems

Iyaboko AI governance, safe workflows, and evaluation under Totakabo law.

  • Work: prompts, guardrails, evaluation
  • Output: governance docs + safe tools
  • Rule: AKIYAKIYA ownership compliance

Partners & Institutions

Labs, universities, NGOs, and ethical industry partners who want measurable progress.

  • Offer: lab access, instruments, datasets
  • Co-build: pilots with clear safety gates
  • Publish: methods + results + limits

Supporters

Support publishing, scholarships, tools, and prototype materials.

  • Fund: open research & publications
  • Fund: safe prototypes and measurement
  • Support: community education and access

How We Work (Pathways)

Clear pathways so your contribution becomes real outcomes and public value.

Pathway A — Research (4 Steps)

  • 1) Choose a law focus: GOTOMAI, AKIYAKIYA, UMIKAPO, IMOUMIKAPO
  • 2) Define hypothesis: measurable prediction + scope limits
  • 3) Identify dataset: open data or controlled measurement
  • 4) Publish note: method + results + uncertainty + next test

Pathway B — Prototype (4 Steps)

  • 1) Define constraints: Totakabo framework + safety boundaries
  • 2) Simulate first: reduce risk before hardware
  • 3) Build controlled test: instrumentation + audit logs
  • 4) Validate: DAKIDA thresholds + replication notes

Recommended outputs: Research Notes, Prototype Briefs, Governance Docs — archived on the Publications page.

Safety, Ethics & Lawful Boundaries

Totakabo Framework Guidance

  • AKIYAKIYA: ownership must be respected (people, systems, nature)
  • DAKIDA: thresholds before any transition or scaling
  • GABOO: silent resonance before force action
  • BIDAA: force must be lawful, bounded, and accountable

AI Safety Notice

Iyaboko AI is developed with lawful constraints, human oversight, and safety gates for any real-world deployment.

  • No unsafe deployment: simulation + evaluation first
  • Audit trails: documented responsibility and review
  • Bounded claims: no exaggeration without evidence

Apply / Contact

Fast join option: email us. You can replace with a WordPress form later.

Quick Application (Email)

Update the email if needed (example): scienceiyaboko@gmail.com

Tip: later you can create join@iyaboko.net for cleaner applications.

What Happens Next

  • Step 1: Confirm your role and interests
  • Step 2: Assign a small first task (low risk, measurable)
  • Step 3: Publish your first contribution (methods + results)
  • Step 4: Expand to research/prototype track with safety gates

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