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Doulab Research

Research & Resources

Whitepapers, frameworks, and open research on foresight and decentralized AI governance.

  • Hub

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 →

  • The Innovation Lab: A Guide to Accelerate Global Innovation

    A practical guide to designing and operating innovation labs and lab networks using a structured innovation framework.

    Read the guide

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 →

  • Vigía Incubation Framework (VIF)

    A practical incubation model for building startup-ready pipelines and ecosystem-ready ventures.

    • Venture progression and readiness signals
    • Mentorship, governance, and cadence design

    Visit the VIF site →

  • Vigía Innovation Lab Framework (VILF)

    A structural framework for designing and governing innovation labs as long-lived institutional systems.

    • Lab governance and portfolio logic
    • Networked lab coordination

    Visit the VILF site →

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)

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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