Module: RiskAssessment/AnomalyDetection

Political Risk Assessment & Anomaly Detection Intelligence Dashboard

Advanced intelligence analysis module implementing a 45-rule risk scoring engine for comprehensive assessment of 349 Swedish MPs across multiple risk dimensions. Combines D3.js heat map visualization with Chart.js analytics for multi-layered risk intelligence presentation.

Intelligence Methodology

This module implements structured risk assessment using quantitative scoring:

• Risk Matrix: 349 MPs × 45 rules = 15,705 risk assessment data points
• Scoring Scale: 0-10 continuous scale with 4 classification levels
• Data-Driven: 100% real CIA Platform CSV data (403 politicians)
• Real-Time: Heat map updates with live data ingestion

Risk Classification Framework

Four-Tier Risk Taxonomy:

• CRITICAL (8.0-10.0): Immediate action required, significant concerns
• HIGH (6.0-8.0): Elevated risk, active monitoring needed
• MEDIUM (4.0-6.0): Moderate concerns, routine oversight
• LOW (0.0-4.0): Acceptable risk levels, standard compliance

Risk Dimensions Analyzed

45 Risk Rules covering:

1. Ethics & Conduct: Conflict of interest, financial disclosures, ethics violations
2. Electoral Risk: Constituency support, approval ratings, scandal exposure
3. Coalition Behavior: Party loyalty, voting discipline, coalition stability
4. Policy Performance: Legislative productivity, committee attendance, debate participation
5. Crisis Resilience: Response to controversies, public communication, damage control
6. Behavioral Anomalies: Voting pattern deviations, speech sentiment shifts

Data Sources (CIA Platform)

Primary Intelligence Feeds:

• distribution_politician_risk_levels.csv - Overall risk classification
• distribution_risk_by_party.csv - Party-level risk aggregation
• distribution_risk_score_buckets.csv - Score distribution analysis
• percentile_risk_score_evolution.csv - Temporal risk trends
• distribution_voting_anomaly_classification.csv - Anomaly categories
• percentile_voting_anomaly_detection.csv - Anomaly time series
• distribution_crisis_resilience.csv - Crisis response effectiveness
• top10_ethics_concerns.csv - Highest priority ethics cases
• top10_electoral_risk.csv - Most vulnerable MPs electorally

Visualization Intelligence

D3.js Heat Map (Primary):

• Axes: 349 MPs (Y-axis) × 45 Rules (X-axis)
• Color Encoding: Risk score intensity (green → yellow → orange → red)
• Interactivity: Tooltip on hover reveals MP, rule, score, level
• Scrollable: Full 349-row matrix with zoom capability

Chart.js Analytics (Supporting):

• Risk level distribution (pie/bar charts)
• Party risk comparison (grouped bar)
• Risk evolution over time (line charts)
• Top 10 critical cases (horizontal bar)

Early Warning System

Automated Alert Thresholds:

• CRITICAL: Any MP with risk ≥8.0 triggers immediate alert
• HIGH: >100 violations ≥6.0 triggers elevated monitoring
• NORMAL: All other conditions indicate acceptable risk

Alert Presentation:

• Color-coded banner (red/orange/green)
• ARIA live regions for accessibility
• Actionable recommendations (review/monitor/routine)

Intelligence Analysis Frameworks