Geopolitical Risk AI Scrambler: Multi-Modal Event-Stream Disruption Modelling, Non-Linear Macro-Financial Stress Cascades, and Autonomous Supply Chain Rebalancing

This technical whitepaper outlines the architecture of Geopolitical Risk AI Scrambler, an institutional intelligence platform modeling multi-modal event-stream disruptions and non-linear macro-financial stress cascades. Couples dynamic event parsing across global news, sanctions registers, and shipping corridors with Dijkstra-shortest-path maritime supply chain rebalancing and systemic liquidity propagation metrics under MiFID II RTS 25. Report identifier: GR-TR-2026-V1.0Official portal: https://sampoaios.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23740500
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
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article

Geopolitical Risk AI Scrambler: Multi-Modal Event-Stream Disruption Modelling, Non-Linear Macro-Financial Stress Cascades, and Autonomous Supply Chain Rebalancing

Harri Lanzett
2 links
Zenodo (CERN European Organization for Nuclear Research)
Market Dynamics and Volatility
article

Geopolitical Risk AI Scrambler: Multi-Modal Event-Stream Disruption Modelling, Non-Linear Macro-Financial Stress Cascades, and Autonomous Supply Chain Rebalancing

Harri Lanzett
article en

Abstract

This technical whitepaper outlines the architecture of Geopolitical Risk AI Scrambler, an institutional intelligence platform modeling multi-modal event-stream disruptions and non-linear macro-financial stress cascades. Couples dynamic event parsing across global news, sanctions registers, and shipping corridors with Dijkstra-shortest-path maritime supply chain rebalancing and systemic liquidity propagation metrics under MiFID II RTS 25. Report identifier: GR-TR-2026-V1.0Official portal: https://sampoaios.com

Zenodo (CERN European Organization for Nuclear Research)
Peace, justice, and strong institutions
Openalex Percentile: Top 9%
Market Dynamics and Volatility
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