Figure 4. Integrated Framework of HPSE, EESI, and LoCT
Policy Brief | EPINOVA–2026–PB–41
Energy Endurance Under Systemic Shock:
Divergent Survival Pathways in East Asia During the U.S.–Israel–Iran Conflict
Caspian Logistics Shock:
Monitoring Russia–Iran Supply Stress after the Anzali Strike
This policy brief assesses the Caspian logistics shock following the March 2026 Anzali strike by monitoring visible Russian vessel composition and Caspian port arrivals/departures from April 8 to April 29, 2026. It interprets cargo and tanker contraction, flow inversion, a short surge window, and late-April contraction as evidence of a higher-friction, window-based logistics mode rather than verified corridor closure or a confirmed second strike.
Transit of Goods through Territory of Pakistan Order 2026:
Six Land Routes, Third-Country Goods, and the Southeastern Bypass of Hormuz Pressure
This policy brief examines Pakistan’s Transit of Goods through Territory of Pakistan Order 2026 as a southeastern logistics adaptation linked to Iran-bound third-country transit under Hormuz pressure. It analyzes six designated land routes, the 6+1+1+2 logistics architecture, potential China–Pakistan rail support, the Iran–Pakistan energy layer, and air–land and sea–land extensions.
Beyond Hormuz:
Iran’s Ten-Corridor Logistics Adaptation under Blockade Pressure
Caspian Shipping, Central Asian Rail, and the Multi-Domain Logic of Threshold-Delaying Supply
This policy brief examines Iran’s reported ten-corridor logistics adaptation under blockade pressure. It analyzes how alternative land-sea corridors, Caspian shipping, Central Asian rail connectivity, air replenishment routes, and residual Hormuz/Persian Gulf movement combine into a multi-domain, threshold-delaying supply system.
Energy Endurance Under Systemic Shock: Divergent Survival Pathways in East Asia During the U.S.–Israel–Iran Conflict
This policy brief examines how the U.S.–Israel–Iran conflict shifts East Asian energy security from supply disruption to systemic endurance. Introducing the Energy Endurance & Survival Index (EESI), it compares Japan, South Korea, and Taiwan, showing how buffer capacity, rigidity, and reserve use create divergent pathways toward instability.
Beyond Theater Effects:
Perception-Driven Escalation and Loss-of-Control Thresholds in AI-Mediated Conflict
This working paper examines how artificial intelligence reshapes escalation by shifting conflict dynamics from material interaction to perception-driven amplification. Using the MCCM framework, it conceptualizes escalation as a threshold-based process centered on LoCT. Through cross-domain case analysis, the study identifies perception–impact decoupling and LoCT compression, highlighting how information systems, narrative amplification, and institutional capacity jointly determine escalation risk.
Dynamic Threshold Positioning in U.S.–China Competition:
A Phase-Resolved Assessment of Structural Resilience and LoCT Distance
This policy brief applies the MCCM framework to assess U.S.–China competition through dynamic threshold positioning. It finds that the United States faces progressive LoCT compression under multi-domain pressure, while China maintains a wider threshold buffer through controlled exposure. The analysis highlights asymmetric risk structures and argues that strategic outcomes depend on proximity to systemic breakdown rather than aggregate capability.
Flow Persistence Under Blockade:
Systemic Friction and the Emergence of a Porous Maritime Regime
This policy brief examines maritime flow persistence under blockade conditions in the Strait of Hormuz following April 13, 2026 U.S. enforcement measures. It introduces the concept of a “porous blockade” and develops High-Pressure Systemic Equilibrium (HPSE), showing that strategic effects arise through systemic friction and cost imposition rather than flow denial, with important implications for interpreting stability and escalation risk.
Recovery during Ceasefire:
A Structured Assessment of U.S., Israel, and Iran Force Reconstitution
This brief examines force reconstitution during the April 2026 U.S.–Israel–Iran ceasefire, showing that ceasefire functions as a competitive recovery phase. Asymmetric recovery trajectories reshape the balance of power and increase escalation risk under non-enforcement conditions.
Beyond the Battlefield:
From Strike to System Disruption in the Caspian Logistics Network
This policy brief examines a cross-theater infrastructure strike in the Caspian Sea and its systemic impact on logistics dynamics. Using vessel-tracking data, throughput estimates, and a System Health Index (SHI), it identifies a nonlinear disruption pattern—surge, collapse, and constrained recovery. The analysis shows how node-level disruption propagates into system-wide instability, highlighting the strategic importance of system degradation and cross-theater coupling.
Who Is Ready Under Renewed Conflict?
A Capability–Sustainability Assessment of the U.S.–Israel–Iran Conflict
This policy brief examines relative readiness in the U.S.–Israel–Iran conflict under renewed hostilities, distinguishing between military capability and long-term sustainability. It argues that readiness is multidimensional: the United States dominates short-term combat, Iran is better positioned for protracted conflict, and Israel faces structural constraints. The central risk is not defeat, but loss of control under cumulative systemic pressure.
MCCM v2.3+ | Systemic Risk & Escalation Tracker is now online.
EPINOVA’s MCCM v2.3+ showcase (MVP) presents an interactive systemic risk and escalation tracker for mapping multi-layer crisis coupling, threshold dynamics, institutional resilience, and bio-observability signals.
Escalation Without Collapse:
High-Pressure Systemic Equilibrium in the U.S.–Israel–Iran Conflict, Days 1–50
This policy brief examines the first 50 days of the U.S.–Israel–Iran conflict as a case of escalation without collapse. Using the MCCM framework, it introduces High-Pressure Systemic Equilibrium (HPSE) to explain how sustained escalation persists without systemic breakdown. The analysis highlights that risk is driven by threshold convergence rather than escalation intensity.
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