Global Tech UpliftLinking Intelligence
Biosurveillance
Led at Boston Children's Hospital. A real-time weak-signal platform fusing Twitter, Google Trends, and news feeds to flag disease outbreaks before official reporting caught up. Retrospectively flagged the Boston Marathon bombing and a Hepatitis A outbreak days ahead of official alerts; tested by federal public health officials.
Multi-source data feeds (Twitter API, Google Trends, RSS feeds) continuously stream into the system.
Custom NLP enrichment and geo-clustering clean the data and add context, mapping posts to locations.
Automated NLP and statistical algorithms flag unusual symptom clusters or location-based spikes in real time.
Tiered filtering by pathogen priority and source credibility isolates the most credible weak signals.
An interactive dashboard displays mapped alerts and timelines, updating continuously for early situational awareness.
Credible threat signals are shared with public health officials and agencies.
A feedback loop updates keywords and data sources based on detected events, improving sensitivity over time.
Retrospectively flagged the Boston Marathon bombing and a Hepatitis A outbreak days ahead of official alerts; tested by federal public health officials.