Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
Data Science
Towards AI·Jun 16·5 min read
Can We Quantify Indonesia’s Political Temperature? I Built a Daily GPR Index to Find Out
TL;DR
Geopolitical risk in Indonesia is often felt but rarely quantified, creating a gap in understanding political tension. A daily Geopolitical Risk (GPR) Index was developed using a keyword model, Prefect Cloud, and GitHub Actions to analyze Indonesian newspaper headlines.
✦ Why It Matters
Engineers and researchers can leverage this GPR Index to enhance risk assessment models in geopolitical contexts.
Key Takeaways
- Utilize automated scraping for real-time data collection.
- Implement keyword models to analyze sentiment in text.
- Adopt workflow management tools like Prefect Cloud.
- Integrate continuous deployment practices with GitHub Actions.
Full Summary
Geopolitical risk is a critical factor in various sectors, yet it remains largely unmeasured, particularly in Indonesia. To address this, a daily Geopolitical Risk (GPR) Index was created by scraping headlines from five Indonesian news sources.
The methodology involved using a keyword model to identify relevant terms, orchestrated through Prefect Cloud for workflow management and automated with GitHub Actions for continuous integration. The resulting index quantifies political tension on a daily basis, offering a new tool for analysts and decision-makers.
Initial findings suggest that this index can effectively track shifts in political sentiment, providing actionable insights for stakeholders. By quantifying these risks, organizations can better navigate the complexities of the Indonesian political landscape.