In an unpredictable world, early detection isn’t just strategic—it’s lifesaving. This course empowers leaders to harness AI-driven signals—from satellite imagery to social media—to anticipate, respond to, and recover from crises with speed and precision. Drawing on global best practices, real‑time tools, and ethical frameworks, participants will build agile systems that detect risk early, mobilize resources efficiently, and foster resilient communication in high-stakes environments.

TRAINING TOPICS

• AI‑powered early‑warning systems: satellite, social media, news feeds
• Real‑time crisis detection using streaming analytics (Striim, Dataminr)
• Predictive risk modeling across natural disasters and conflict zones
• Agentic AI for security, border, and threat response
• Generative AI in crisis communication & field support
• Ethical considerations: bias, privacy, surveillance in crisis AI
• Responsible AI frameworks for resilience management
• Crowd‑sourced crisis mapping & situational awareness
• Humanitarian AI innovation: IRC, UNDP RAPIDA, Mercy Corps use cases
• Global governance and AI safety norms in crisis operations

BY THE END OF THIS TRAINING, DELEGATES WILL BE ABLE TO

• Deploy AI tools to detect weak signals before crises escalate
• mplement real-time dashboards linking social media, sensors, and imagery
• Build predictive models for disaster and conflict scenarios
• Leverage agentic AI for operational security and border management
• ntegrate AI-based communication tools in humanitarian settings
• Apply ethical and privacy safeguards in crisis AI deployment
• Engage communities using crowdmapping and social sensing strategies
• Operate within evolving international AI safety frameworks

TRAINING IS TAILORED TO

• Crisis managers, emergency response leaders, and public safety executives
• Government and NGO heads responsible for disaster resilience
• Intelligence, defense, security, and humanitarian technology teams
• Risk, communications, and operational heads in high-stakes environments

TRAINING METHODOLOGY

Hands-on labs (social‑media signal processing, satellite visualization), streaming analytics demos, generative communication simulations, ethical scenario workshops, crowdmapping exercises, and peer strategy clinics.

Day One: Sensing the Signals

• Real-time monitoring via satellite and news feeds (Striim, UNDP RAPIDA)
• Social-media crisis detection with CrisisBERT, AIDR platforms
• Signal classification labs: filtering noise in noisy data
• Case study: RAPIDA use in Afghanistan
• Interactive mapping: create crowd‑sourced crisis visuals

Day Two: Predictive Analytics & Risk Modeling

• AI forecasting of weather, wildfire, food, and conflict crises
• Designing ML pipelines for early-warning alerts
• Simulation: model local crisis scenarios and triggers
• Group activity: capacity planning for resource deployment

Day Three: Agentic & Operational AI

• Agentic AI for security and border threat response (Dataminr, ABF)
• Endpoint practice: automated patrol recommendation systems
• Crisis24 case simulation: Security AI in action
• Designing autonomous alert-triggered protocols

Day Four: Communications & Field Support

• Generative AI to support aid worker info delivery (Mercy Corps)
• Live demo: Field Q&A using Methods Matcher
• Crisis communications simulations with NLP agents
• Build crisis message flows for communities and media

Day Five: Ethics, Governance & Resilience Building

• Ethical and privacy review of crisis AI pipelines
• Crowdmapping exercises and responsible design
• AI governance: AI safety standards and crisis regulation
• Capstone: Integrated crisis response strategy presentation
• Peer + expert critique and future roadmap planning