A data scientist has developed a daily Geopolitical Risk (GPR) index for Indonesia by analyzing local news sources. This approach differs from existing GPR indexes, which rely on international English-language media and may not capture on-the-ground sentiment. The new index uses a pipeline involving Python for scraping, Prefect Cloud for orchestration, and dbt for data transformation to quantify political tension from Indonesian-language headlines. AI
IMPACT This methodology could be adapted to quantify political temperature in other regions, offering new insights for financial and geopolitical analysis.
RANK_REASON The cluster describes a novel methodology for creating a specific type of index (GPR) using data analysis and programming techniques, which falls under research. [lever_c_demoted from research: ic=1 ai=0.4]
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