Learn how global intelligence agencies use Graph Neural Networks and Large Language Models to predict political instability and supply chain disruptions.
This advanced masterclass explores computational diplomacy and geopolitical intelligence. Discover how NLP models parse millions of international news feeds (GDELT/ACLED) and diplomatic cables to construct dynamic knowledge graphs and predict conflict escalation risks.
The speaker will demonstrate temporal graph neural networks (T-GNNs) that model interstate alliance dynamics, trade choke-point vulnerabilities, and sanction impact cascades.
Participants will get hands-on exposure to key industry standard toolkits during the session:
Prior experience with NLP or Graph Neural Networks recommended.
Strategic analysts, international relations scholars, risk consultants, defense AI researchers.
Every registered attendee receives an official, tamper-proof digital certificate issued by the Deep Science & Technology Consortium (DSTC). Includes a unique QR code and SHA-256 hash for instant verification on employer or university registries.
JNU School of International Studies
JNU School of International Studies