Our digital projects deliver value to humanitarian intervention and response
Software: Global Disaster Monitoring
Demo Coming Soon
We built a world-first platform integrating live weather and storm tracking with real-time disaster alerts.
We built a world-first platform integrating live weather and storm tracking with real-time disaster alerts.
Python
R
Machine Learning
Software: Field Team Monitoring and Intervention Management
Demo Coming Soon
A specification was received to develop a cross-functional Field Team Monitoring and Intervention Management platform.
The system supports end-to-end humanitarian mission planning, real-time field team tracking, and situational monitoring of disasters, weather, and operational disruptions. It is the world's first deployment management tool to integrate stress and wellness monitoring for field personnel, strengthening both operational performance and duty-of-care standards.
A specification was received to develop a cross-functional Field Team Monitoring and Intervention Management platform.
The system supports end-to-end humanitarian mission planning, real-time field team tracking, and situational monitoring of disasters, weather, and operational disruptions. It is the world's first deployment management tool to integrate stress and wellness monitoring for field personnel, strengthening both operational performance and duty-of-care standards.
Python
R
AI
Research: Post-Conflict Agricultural Supply Chain Mapping
Link to Paper
Post-conflict regions require resilient agricultural supply chains to restore food security, stabilise local economies, and prevent renewed instability.
This research - completed in collaboration with University of Manchester - develops an empirically grounded framework for understanding barriers and enablers in post-conflict agricultural supply chain reconstruction in Lebanon, applying a supply chain management lens to translate complex political, economic, and social dynamics into actionable insights for humanitarian intervention and long-term food system resilience.
Post-conflict regions require resilient agricultural supply chains to restore food security, stabilise local economies, and prevent renewed instability.
This research - completed in collaboration with University of Manchester - develops an empirically grounded framework for understanding barriers and enablers in post-conflict agricultural supply chain reconstruction in Lebanon, applying a supply chain management lens to translate complex political, economic, and social dynamics into actionable insights for humanitarian intervention and long-term food system resilience.
Research
Qualitative Data Collection
Stakeholder Engagement
Cross-Disciplinary Systems Design