Problem Statement

Emerging social and political risks are often visible in open information long before they escalate, but the signals are scattered, noisy, and hard to track systematically. Decision-makers need an earlier, structured view.

Target Users

• Researchers and analysts
• Policy makers and government agencies
• NGOs and civil-society organizations
• KBA13 Insight analysts

Workflow

The system ingests open information, extracts and classifies indicators, scores risk by region and theme, and surfaces notable changes on a dashboard for human review. Analysts validate signals before any conclusion is drawn.

Features

• Regional and thematic risk indicators
• Change and anomaly detection
• Confidence levels on every estimate
• Human-in-the-loop validation
• Exportable summaries for reports

Methodology

A mix of measured indicators (directly observed) and estimated indicators (modeled), each reported with an explicit confidence level. The methodology is documented and open to critique.

Data Requirements

Publicly available information only. No private or personal surveillance data. Sources and collection scope are documented for transparency.

Input & Output

Limitations

Ethics

Uses only public information, avoids profiling of individuals, and foregrounds uncertainty. It is designed to inform human analysis, never to automate consequential decisions.

Current Status

Alpha. Core indicator pipeline and dashboard are in early testing with a limited indicator set.

Roadmap

Technical Notes & Future Integration

Modular pipeline separating collection, indicator computation, scoring, and presentation. Designed for auditability and reproducibility.

Built to become API-ready for future integration with KBA13 Insight workflows and partner systems, with human validation preserved at every step.