Future Designer | Strategic Innovation Advisor | Complex Systems Thinker

With 4+ decades at the intersection of technology, governance, and environmental systems, I specialize in designing and reasoning about complex sociotechnical and ecological systems—scaling from organizations to cities, nations, and the globe. My work has led to pioneering:

• 🌀 Feedback-based governance frameworks
• 🔁 Intervention strategies across sectors
• 📊 Dynamic system models for public, private, and academic use

Internationally recognized by World Economic Forum and others for advancing systems modeling, public policy, and governance innovation.

• Architecting dynamic, actor-based, life-cycle models to enable evidence-driven decisions
• Reasoning from causal logic in narrative data

• Bridging legacy expert systems with LLMs and causal inference tools
• Designing governance simulations using AI-integrated models

• Developing leadership-ready systems intelligence tools
• Enabling systemic interventions through frameworks and training

🚧 Are you exploring causality, feedback, actor modeling, or system lifecycles? Building policy-relevant simulations? Interested in reflexive systems? Let’s collaborate!

• Causality-and-Feedback – Foundations for narrative-driven system modeling
• Reasonable – Creating frameworks that power reasoning
• The Livability Project - Tools that reveal the causal architecture of livable systems
• System Intelligence (SI) — The capacity to reason structurally about causality, feedback, and dynamic behavior in complex systems

Have ideas? Propose them via Issues or message on LinkedIn 🧠

Languages and platforms I work with:

• Python (Jupyter, Pandas, NumPy, SciPy, Plotly)
• Systems Simulation (Stella/iThink, Vensim, SysLogic)
• Multi-agent Frameworks (CrewAI)
• Web Interfaces & Documentation (HTML, CSS)

Exploring modular toolchains that integrate causal logic, simulation, and interactive visualization.

• PhD, Rijksuniversiteit Groningen (1994)
  Developed actor-based and systems life-cycle theories
  Formalized reasoning-from-evidence approaches for system modeling
  Introduced proposition-based and theorem-driven simulation paradigms

Designing the future requires understanding systems, reasoning from evidence, and empowering leaders to transform complexity into opportunity.

I welcome collaboration that challenges boundaries across modeling, code, and civic imagination.

📬 Reach out via LinkedIn, Website, or GitHub Discussions