Appendix B: Workflow Diagrams & System Architectures

This appendix contains executable Mermaid.js diagrams representing the end-to-end data flow and the ITU-toolkit extension discussed throughout the book. They render natively in both the HTML and PDF (via a static fallback) Quarto builds, and the code blocks can be ingested directly by an LLM agent for workflow orchestration.

B.1 B.1 End-to-End Data Flow: Data Engine to RegTech Output

graph TD
    subgraph PartI [Part I: Data Engine]
        A[Scholarly literature: WoS / Scopus] --> D[AI-Powered Bibliometrics Catalogue]
        B[Global patent data: Lens / EPO] --> D
        C[UN SDG taxonomy] --> D
        D --> E[Technology trajectory & TRL map]
    end

    subgraph PartII [Part II: The Translation Bridge]
        E --> F[Extended ITU EcoInnovation Canvas]
        F --> G[Service design meta-journey]
        G --> H[SSbD de-risking assessment]
    end

    subgraph PartIII [Part III: Industrial & Policy Outputs]
        H --> I[Digital Product Passport schema]
        H --> J[Industrial Data Space sovereignty rules]
        I --> K[RegTech automated compliance]
        J --> K
        K --> L[ASEAN DEFA & DTA alignment]
    end

Figure B.1: System architecture from data harvesting to trade alignment

B.2 B.2 Extended ITU Service Design Meta-Journey

sequenceDiagram
    autonumber
    participant Research as Research Council / Scientometrics
    participant Engine as AI-SDG Methodology Engine
    participant Industry as Enterprise / GBS Operator
    participant Regulator as Policy / Trade Authority (ASEAN DEFA)

    Research->>Engine: Submit patent & publication corpora
    Engine->>Engine: Run NLP clustering & SSbD scoring
    Engine->>Industry: Generate Digital Product Passport (DPP) draft
    Industry->>Engine: Define Industrial Data Space (IDS) rules
    Engine->>Regulator: Export RegTech compliance verification
    Regulator-->>Industry: Grant regional trade interoperability clearance

Figure B.2: Data-driven ITU service design flow