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Research & Resources

Welcome to our Research & Resources hub. You will find whitepapers, frameworks, and open research notes focused on strategic foresight, innovation systems, and decentralized AI governance. The materials are practical, testable, and open.

Everything here is open access. If something does not load, please tell us via the Contact page.

  • Distributed Federated Agentic AI

    A practical blueprint for decentralized AI governance, infrastructure, and public value.

    • Identity and trust (PKI, wallets, permissions)
    • Workflows, model ops, and orchestration

    Read the whitepaper →

Frameworks and toolkits​

  • MicroCanvas® Framework (MCF) v2.1

    Modular canvases to diagnose, design, and scale innovation with repeatable methods.

    • Reusable canvases and templates
    • Step-by-step usage guides

    Visit the MicroCanvas site →

  • Innovation Maturity Model Program (IMM-P®)

    A structured way to assess capability, prioritize gaps, and guide improvement over time.

    • Evidence-based diagnostics
    • Stage-appropriate decision gates

    Explore IMM-P →

Briefs and notes (ongoing)​

Short reads that capture signals, patterns, and how-tos. We publish these progressively. Check back for updates.

  • Foresight in planning cycles: integrating horizons, scenarios, and trigger points into annual strategy. (coming soon)
  • Evidence loops: lightweight instrumentation for decision quality and learning velocity. (coming soon)
  • Public-private innovation rails: shared standards for ecosystems and incubator networks. (coming soon)

Authoring tips (for our team)​

  • Whitepapers: add tags: ['whitepaper'] in a doc’s front matter.
  • Radar surfacing: add tags: ['radar'] to include a doc in Vigía Futura → Latest from the radar.
  • Sorting: prefix doc IDs with dates like YYYY-MM-DD__your-slug to keep “Latest” lists accurate without heavy parsing.

How to reference our work​

If you cite our materials, include title, author (“Doulab”), year, and URL. Example:

Doulab (2025). Distributed Federated Agentic AI. Retrieved from /docs/research-resources/distributed-federated-agentic-ai

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