A Quantitative Analysis of Geopolitical Consciousness
Project Summary
A project that transforms qualitative psychosocial models (Spiral Dynamics/vMemes) into quantitative Big Data tools for geopolitical analysis. To demonstrate that consciousness language in UN discourse significantly predicts international voting behavior.
State actors' language can be classified into consciousness stages (vMemes) using NLP, and this classification correlates with UN General Assembly voting patterns. My goal is to transition these theoretical insights into Peace-Tech protocols, where bio-metric data and quantum models provide the evidence needed for a more conscious global governance