Complex Systems &
Space Governance.
Node 03 is an applied research unit of the International Health Research Institute, operating under Pillar II of IHRI's institutional framework. Its work focuses on complex systems science, AI governance, and space health research.
Engineering institutional homeostasis at the edge of the known. From astronaut metabolic defense to the thermodynamic governance of critical terrestrial infrastructure.
Operational Nodes
Unit 03 conducts applied research in complex systems science, AI governance, and space health under IHRI's Pillar II research mandate.
Space Health &
Extreme Environments
Investigating the metabolic and physiological constraints of deep-space isolation and planetary analogs.
Research Vector
"Mitigating systemic failure in closed-loop life support through metabolic homeostasis."
Resilient Governance
& Cognitive AI
Developing the NERVE and CORTEX engines to govern state infrastructure via Active Inference.
Research Vector
"Automating entropy detection in national supply chains and energy grids."
Unit 03 Research Leadership
Dr. A. Hodgers
Principal Investigator, Unit 03 — Complex Systems
Dr. M. Jadhav
Principal Scientist Space Systems
Dr. C. Culligan
Systems Engineering Lead
Dr. S. Poradosú
Lead: Aerospace Bio
Nicholas Dillon
Research Lead: AI Governance
Aaron Zak
Research Lead: Human Factors
Strategic Research Vectors
Unit 03 directs institutional and alliance-led research across the following core mandates.
Vector A: Frontier Logistics
Investigating metabolic performance and closed-loop supply chains in extreme isolation (Antarctic and Deep-Space analogs).
Vector B: Systemic Governance
Architecting High-Reliability Organization (HRO) implementation and AI diagnostic oversight for critical terrestrial infrastructure during crisis events.
Working Papers
Recent publications, pre-prints, and systemic architecture mappings from Unit 03.
One Architecture, Three Descriptions: A Unified Mapping of Beer's Viable Systems Model, the EU AI Act Essential Requirements, the Nannini Agentic Compliance Sequence, and VAIAS-ORG Across a Single Coherent Architecture
Andrew Hodgers — President and Principal Investigator, Unit 03
Published: May 2026
This paper demonstrates that four frameworks currently treated as separate in AI governance practice are structurally equivalent. Beer's Viable Systems Model, the EU AI Act's essential requirements (Articles 9–17), the Nannini agentic compliance sequence, and the VAIAS-ORG architecture for sublinear AI scaling are four descriptions of the same underlying architecture. The equivalence is demonstrated through systematic cross-mapping across all five VSM system functions, each AI Act essential requirement, each step of the Nannini compliance sequence, and each VAIAS-ORG layer. The paper applies the resulting architecture to three currently unresolved compliance challenges for agentic AI systems and provides a principled compliance methodology for providers operating in the current standards-free zone prior to the finalisation of harmonised standards under M/613.
Keywords
Viable Systems Model · EU AI Act · Agentic AI Compliance · Sublinear Scaling · Ashby's Law · Conant-Ashby Theorem · Article 14 · Behavioural Drift
Suggested Citation
Hodgers, A. (2026). One Architecture, Three Descriptions. IHRI Unit 03 Working Paper IHRI-U03-WP-2026-001.
Regulatory Compliance Note
Strategic Unit 03 (Complex Systems & Space) is an independent research consortium operated by the International Health Research Institute (IHRI) under Pillar II (Applied Intelligence) and is not part of the regulated Pillar I. Participation, research alignment, or data-sharing within this unit does not confer academic credit towards the MFHEA-accredited Doctor of Health Science (DHS) programme. For information regarding our formal MQF/EQF Level 8 degree qualifications, please refer to the Academic portal.
Navigating Complexity.
Partner with Strategic Unit 03 to engineer institutional homeostasis.
Initiate Research Alliance
Aaron Zak
Research Lead: Human Factors
Unit 03: Complex Systems
Cognitive Engineering &
Decision Integrity.
The Research Frontier
Aaron Zak specializes in the Human-Machine Interface (HMI) within high-reliability environments. His research focuses on the "Cognitive Last Mile"—the critical juncture where automated intelligence is transmuted into human action.
IHRI Leadership
Zak leads the Human Factors Integration for the CORTEX and NERVE stacks. His mandate is to architect the interface protocols used by Node Leads, ensuring that AI-driven outputs minimize cognitive friction and maintain human agency during crisis events.
"If the algorithm is perfect but the Commander is overwhelmed, the system fails. We engineer the interface to ensure that the human remains the primary governor of the signal."