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EPINOVA Research Signals

Figure 1. Two-Layer Information Structure, Main Narrative vs. Event Spikes (Feb 28–Mar 23, 2026, China)


Policy Brief | EPINOVA–2026–PB–18

Control vs. Amplification:

Information System Divergence in the U.S.–Israel–Iran Conflict

Evidence from China’s Signaling System



    Research Updates

    Policy Brief | EPINOVA–2026–PB–18

    Control vs. Amplification:

    Information System Divergence in the U.S.–Israel–Iran Conflict

    Evidence from China’s Signaling System

     

    This policy brief analyzes information system divergence in the U.S.–Israel–Iran conflict using a dual-layer framework with SPI and EAR metrics. It finds divergence driven by event amplification rather than baseline narratives, with China’s controlled signaling contrasting decentralized amplification systems, producing nonlinear, event-driven instability and risks of amplification loss during high-intensity events.

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    Policy Brief | EPINOVA–2026–PB–17

    Divergent War Aims: 

    The U.S., Israel, and the Strategic Logic of Divergence in the Iran Conflict

     

    This brief examines U.S.–Israel strategic divergence in the Iran conflict. While operationally aligned, their war aims differ in structure, time horizon, and escalation tolerance. A three-part framework—control, coercion, and cost imposition—explains how Iran exploits these differences, producing coalition stress. The divide is not tactical but definitional, shaping outcomes, thresholds, and strategic coherence over time. 

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    Policy Brief | EPINOVA–2026–PB–16

    Deterrence Under Cost Pressure: 

    From Overmatch to Cost Imposition in the U.S.–Iran Conflict 

     

    This policy brief analyzes how the U.S.–Iran conflict reflects a shift from overmatch deterrence to cost-imposition dynamics. Using 25-day conflict data, it identifies declining signaling coherence, erosion of low-cost coercion, instrumental identity mobilization, and networked alignments. Findings show persistent cost asymmetry, indicating that strategic advantage increasingly depends on sustaining competition under prolonged cost pressure. 

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    Working Paper | EPINOVA–WP–F–2026–09

    A Systemic Theory of Escalation and the Loss-of-Control Threshold in Networked Conflict


    This working paper develops a systemic theory of escalation centered on the loss-of-control threshold (LoCT) as a dynamic state-transition condition. It models escalation as an endogenous process driven by systemic pressure, structural node criticality, and perception feedback. Strategic success is redefined as temporal control—the ability to remain below the LoCT—making conflict a competition over sustained controllability rather than decisive victory. 

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    Policy Brief | EPINOVA–2026–PB–15

    Competition over the Loss-of-Control Threshold: 

    A Systemic Theory of Escalation in Networked Conflict

     

    This brief assesses a potential U.S. seizure of Kharg Island using the loss-of-control threshold (LoCT) framework. It argues that U.S. operational superiority enables access but not low-cost control, while Iran’s cost-imposition strategy drives systemic pressure. Conflict outcomes depend on sustaining control under cumulative multi-domain stress rather than decisive battlefield victory.

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    Working Paper | EPINOVA–WP–F–2026–08

    Who Loses Control First?

    Threshold Competition in the 2026 U.S.–Israel–Iran Conflict

     

    This working paper analyzes the 2026 U.S.–Israel–Iran conflict as threshold competition rather than decisive war. It introduces the loss-of-control threshold (LoCT) to explain escalation failure under systemic pressure. The United States faces overextension, Israel escalation lock-in, and Iran a retaliation loop. Outcomes depend on resilience in delaying loss of control rather than battlefield superiority.

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    Policy Brief | EPINOVA–2026–PB–14

    Post-Nodal Warfare:

    Will Distributed AI Command Replace Human Leadership in High-Intensity Conflict?

     

    This policy brief introduces post-nodal warfare, where distributed AI-enabled command reduces reliance on leadership nodes and weakens decapitation strategies. It identifies a shift toward system-level command functions, highlighting operational advantages alongside new vulnerabilities in cybersecurity, data integrity, governance, and escalation, with implications for future high-intensity conflict. 

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    Working Paper | EPINOVA–WP–F–2026–07

    Systemic Warfare in the Networked Age: 

    Operational Systems, Information Competition, and Cumulative Pressure


    This working paper introduces systemic warfare as a framework for understanding how contemporary conflict operates through cumulative pressure across interconnected operational systems and networked information environments. It integrates Operational System Warfare and information competition, and proposes two analytical constructs: the Operational Node Criticality Score (ONCS) and the Systemic Pressure Index (SPI). Drawing on an illustration from the 2026 U.S.–Israel–Iran confrontation, the paper shows how disruptions propagate and generate nonlinear effects, offering a theoretically grounded model with testable implications for future research.

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    Policy Brief | EPINOVA–2026–PB–13

    Terminal Platform Nodes and Narrative Competition in the U.S.–Israel–Iran Conflict


    This policy brief examines narrative competition in the U.S.–Israel–Iran conflict through Terminal Platform Nodes (TPNs)—the algorithmically mediated points where narratives reach mass audiences. Using 5,000 social media posts from X, Facebook, TikTok, and Instagram (Feb 28–Mar 14, 2026), it finds that narrative influence is shaped less by message production than by platform algorithms and engagement dynamics. Monitoring TPNs is therefore critical for understanding contemporary information warfare and strengthening the resilience of democratic information environments. 

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    Working Paper | EPINOVA–WP–F–2026–06

    Industrial War and Network War: 

    Operational Logics in the Russia–Ukraine War and the U.S.–Israel–Iran Conflict


    This working paper compares the Russia–Ukraine War and the 2026 U.S.–Israel–Iran conflict as two distinct operational logics of contemporary warfare: industrial warfare centered on territorial control and network-oriented warfare aimed at imposing systemic pressure on distributed military infrastructure. It argues that modern conflicts increasingly operate through networked operational systems in which repeated strikes impose cumulative costs, operational nodes become critical targets, and globally deployed powers face growing vulnerability to cross-regional pressure. 

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    Working Paper | EPINOVA–WP–F–2026–05

    Cloud Under Fire:

    Hyperscale Data Centers and the Rise of Cyber-Physical Warfare


    This working paper examines the strategic significance of hyperscale cloud infrastructure in modern conflict. Using the concept of Digital Strategic Nodes (DSNs) and the reported strikes near AWS facilities during the 2026 U.S.–Iran conflict as a case study, it analyzes how concentrated cloud infrastructure may create systemic vulnerabilities. The study maps 28 regional digital nodes and highlights the growing role of cyber-physical disruption in warfare. 

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    Policy Brief | EPINOVA–2026–PB–12

    Narrative Underperformance in the First Week of the U.S.–Israel–Iran War


    This policy brief examines information competition during the first week of the 2026 U.S.–Israel–Iran war. Despite substantial U.S. communication activity, differences in communication tempo, narrative continuity, media-format compatibility, and expectation dynamics shaped perceptions of momentum. A best-effort estimate suggests visible communication tempo approximated 1.2 : 1 : 2.1 (United States : Israel : Iran), highlighting the advantage of continuous, feed-compatible messaging in early-stage conflicts. 

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