Monitoring & Early Warning
Early Warning Dashboard
Demo DataReal-time monitoring of neighborhood risk thresholds, ML model fairness, and community-defined alert triggers. The system shifts from reactive crisis response to predictive, proactive intervention.
4
Active Alerts
2
Critical
5
Thresholds Exceeded
3
Approaching Threshold
Threshold Proximity Monitor
Tracking how close each neighborhood metric is to its community-defined risk threshold. Black markers indicate the threshold line.
Gambling Risk — Brooklyn Park
EXCEEDED↑ Rising
Score: 72/100Threshold: 70
Elder Isolation — Minneapolis (North)
EXCEEDED↑ Rising
Score: 75/100Threshold: 65
Elder Isolation — St. Paul (East Side)
EXCEEDED→ Stable
Score: 70/100Threshold: 65
Mental Health — St. Paul (East Side)
EXCEEDED↑ Rising
Score: 68/100Threshold: 65
Dropout Risk — Brooklyn Center
EXCEEDED↑ Rising
Score: 62/100Threshold: 60
Dropout Risk — Brooklyn Park
APPROACHING→ Stable
Score: 55/100Threshold: 60
Gambling Risk — St. Paul (East Side)
APPROACHING→ Stable
Score: 65/100Threshold: 70
Mental Health — Brooklyn Park
APPROACHING→ Stable
Score: 60/100Threshold: 65
Neighborhood Risk Heatmap
Multi-domain risk assessment across Lao community neighborhoods
| Neighborhood | Gambling | Dropout | Mental Health | Elder Isolation | Overall |
|---|---|---|---|---|---|
| Brooklyn Park | 72 | 55 | 60 | 62 | high |
| St. Paul (East Side) | 65 | 45 | 68 | 70 | high |
| Brooklyn Center | 58 | 62 | 48 | 55 | medium |
| Minneapolis (North) | 52 | 50 | 55 | 75 | high |
| Woodbury | 35 | 22 | 30 | 38 | low |
Risk scale:70+ Critical55-69 High40-54 Medium<40 Low
Reactive → Predictive Transformation
Before: Reactive Response
- ✕Community crises identified after they occur
- ✕One-size-fits-all interventions across all "Asian" communities
- ✕Services deployed based on aggregate data that hides Lao disparities
- ✕Months-long delay between data collection and policy response
After: Predictive & Proactive
- ✓ML models detect rising risk weeks before crisis thresholds
- ✓Culturally-specific interventions matched to Lao community needs
- ✓Disaggregated data reveals true disparities hidden by aggregation
- ✓Real-time alerts enable immediate, targeted intervention deployment
Source: ML Risk Models, Fairness Audit System, Community Data Pipeline · Lao Community Data Portal