To equip participants with the knowledge and practical skills to apply AI-driven techniques for integrating and analyzing multi-hazard risks, enabling informed decision-making and enhancing disaster preparedness, resilience, and response strategies.
AI for Risk Layering in Disaster Analytics
Integrating Intelligence Across Risks for Smarter Disaster Decisions
About This Course
This workshop explores how artificial intelligence can be used to integrate and analyze multiple disaster risks for better decision-making. Participants will gain insights into risk layering, predictive analytics, and geospatial data applications to improve disaster preparedness, resilience planning, and response strategies across complex hazard scenarios.
Aim
Workshop Objectives
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To introduce the concept of risk layering and its importance in disaster analytics
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To understand the role of AI and machine learning in multi-hazard risk assessment
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To explore geospatial data integration and predictive modeling techniques
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To develop skills for analyzing and interpreting layered risk data
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To apply AI-driven approaches for improving disaster preparedness and response strategies
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To examine real-world case studies for practical implementation of disaster risk analytics
Workshop Structure
- Day 1: Multi-Hazard Vulnerability & Exposure Mapping
- The Physics of Risk Layering
- Geospatial AI (GeoAI)
- Sensing the Invisible
- Hands-on Session (Google Colab)
- Day 2: Predictive Modeling for Cascading Disasters
- Disaster Chain Analysis
- Probabilistic Risk Assessment
- Generative AI for Scenario Synthetic Data
- Hands-on Session (Google Colab)
- Day 3: Parametric Analytics & Decision Support Systems
- Parametric Trigger Design
- Agentic AI in Crisis Management
- Explainable AI (XAI) for Policy
- Hands-on Session (Google Colab)
Who Should Enrol?
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Researchers and Ph.D. scholars
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Data scientists and AI/ML professionals
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Urban planners and environmental engineers
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Government officials and policymakers
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Insurance and risk assessment professionals
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Academicians and students in related fields
Important Dates
Registration Ends
03/23/2026
IST 4: 30 PM IST
Workshop Dates
03/23/2026 – 03/25/2026
IST 05:30PM IST
Workshop Outcomes
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Understand and apply risk layering in disaster analytics
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Use AI/ML techniques for multi-hazard risk assessment
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Analyze and interpret integrated risk and geospatial data
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Develop data-driven disaster preparedness strategies
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Apply AI solutions to real-world disaster scenarios
Fee Structure
Student
₹2499 | $75
Ph.D. Scholar / Researcher
₹3499 | $85
Academician / Faculty
₹4499 | $95
Industry Professional
₹6499 | $115
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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