WEO Methodology Manual: Systematic Tracking of AI Infrastructure Coordination Dynamics Across Geopolitical Blocs
Complete operational methodology for the Warmth Engine Observatory, enabling systematic tracking of AI infrastructure coordination dynamics across geopolitical blocs through verified events and mapped coordination connections. No existing framework systematically documents coordination dynamics at the intersection of technology deployment, geopolitical alignment, and institutional governance. This manual addresses that gap by adapting proven frameworks: Basel Committee G-SIB Methodology (2018) for systemic importance assessment, ICD 203/206 and wire service standards for event verification, Keohane (1984) for coordination definition, and Finnemore & Sikkink (1998) for norm adoption thresholds. The methodology specifies a five-stage processing sequence: (1) Event Verification with gold-standard evidentiary requirements, (2) Significance Assessment via Keohane Pre-Filter, Basel 5-Factor, Route-Based, and PISA-5 frameworks, (3) Tier Classification across coordination scales (T1 Cross-Bloc, T2 Between-Bloc, T3 Intra-Bloc), (4) Domain Classification across Energy/Infrastructure, Security, Technology, and Trade, and (5) Coordination Connection Mapping using a novel seven-type taxonomy with three confidence levels (CC-V, CC-E, CC-A). Industry tags — an 11-category taxonomy adapted from GICS identifying which specific industry each event's documented provisions most directly address — provide a distinct analytical layer applied during Phase 2. Original contributions include the seven-type Coordination Connection taxonomy (verified novel via research across 25+ platforms), the PISA-5 significance assessment framework, the Route-Based qualification structure, the 11-category industry tagging taxonomy with deterministic and keyword-based assignment logic, and the companion Industry Tagging Reference. The methodology achieves approximately 70–75% empirical grounding with 25–30% category creator calibration. This document can be read independently. Readers seeking calibration justifications may consult the companion Methodology Rationale. Version 1.1 (February 2026) extends Version 1 with Chapter 7: Industry Tags and corresponding updates across all companion documents.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-21
- DOI
- https://doi.org/10.5281/zenodo.18721607
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00