Hybrid Foreign Policy Media Monitoring and Analyses Team

The aim of this early-stage project is to design a multilingual media-monitoring pipeline that blends AI-driven text mining with human foreign-policy expertise so we can anticipate policy shifts before they surface officially. I already know the broad contours—coverage must span almost all languages relevant to the regions under study, while drawing from mainstream news outlets, official government releases and authoritative expert commentary.

What I need now is a small, cross-disciplinary group comfortable with media monitoring, foreign-policy analysis and-or modern AI / machine-learning techniques (NLP, topic modelling, LLMs, classification workflows in Python or R). Together we will review and refine:

• the critical sources in each language and define ingestion methods
• Build or adapt an AI layer that flags emerging narratives and policy signals for human review
• an oversight framework that lets analysts verify, contextualise and, where necessary, override the algorithm’s output
• a concise concept paper and proof-of-concept dataset ready for inclusion in an upcoming grant application

The formal grant window opens in a few months, so the immediate deliverables are limited to a clear division of labour for the next phase and providing feedback to research design, and lightweight prototype. If you enjoy bridging cutting-edge NLP with practical geopolitical insight—and, ideally, you can demonstrate past work monitoring news flows or parsing government statements—let’s shape this proposal together. It is not necessary for you to be an expert in all areas mentioned.
Let me make this clear: at this phase, only the pre-selection of potential team members will take place, and no award will be made.