The increasing frequency andcomplexity of disasters across Asia and the Pacific require governments andinstitutions to adopt innovative and data-driven approaches for disaster riskmanagement (DRM). Rapid advancements in digital technologies, includinggeospatial systems, artificial intelligence (AI), remote sensing, cloudcomputing, big data analytics, mobile applications, and digital platforms, aretransforming how disaster data is collected, analyzed, visualized, and utilizedfor decision-making.

Digital transformation in DRMhas become essential for improving risk assessment, preparedness, early warningsystems, emergency response, damage and loss assessment, and recovery planning.Governments and organizations are increasingly investing in interoperable datasystems, digital mapping tools, dashboards, and innovation ecosystems tosupport evidence-based disaster resilience strategies.

Recognizing this growing need,ADPC is organizing the “Digital Solutions for Disaster Data and Innovation”Face-to-Face Training Course to strengthen the capacities of practitioners,government officials, researchers, and technical professionals in leveragingdigital technologies and innovation for disaster risk reduction and climateresilience.

The training aims to strengthen participants’ knowledge and technical capacity to utilize digital technologies, data systems, and innovative approaches for effective disaster risk management and climate resilience. Specifically, the course will:

• Enhance understanding of digital transformation in DRM and climate resilience
• Introduce disaster data ecosystems, governance, interoperability, and standards
• Build practical skills in geospatial technologies, remote sensing, and data visualization tools
• Explore emerging technologies including AI, big data analytics, mobile platforms, and digital innovation for DRM
• Strengthen capacities in risk communication, early warning systems, and decision-support platforms
• Promote innovation, collaboration, and digital solutions for resilient development planning.

The training is structured as a five-day face-to-face program combining technical lectures, group work, and case studies. The course follows a progressive learning approach beginning with foundational concepts of disaster data systems and digital transformation, followed by hands-on applications of geospatial and digital tools, and concluding with innovation frameworks, integrated systems, and action planning for implementation.

The program emphasizes practical learning and peer exchange through regional case studies, interactive discussions and collaborative exercises.

Main Topics

Day 1: Foundations of Digital Disaster Data and DRM Systems

Session 1: Introduction to Digital DRM Ecosystems
Session 2: Disaster Data Governance and Standards
Session 3: Disaster Data Sources and Platforms
Session 4: Integrated Disaster Information Systems

Day 2: Geospatial Technologies and Risk Analytics

Session 5; GIS for Disaster Risk Management
Session 6: Remote Sensing Applications
Session 7: Spatial Risk Analysis and Visualization
Session 8: Practical Exercise – GIS and Mapping Tools

Day 3: Emerging Technologies and Innovation

Session 9: Artificial Intelligence and Machine Learning in DRM
Session 10: Big Data and Real-Time Analytics
Session 11: Innovation Ecosystems and Digital Transformation
Session 12: Mobile Applications and Community-Centered Digital Solutions

Day 4: Early Warning Systems and Decision Support

Session 13: Digital Early Warning Systems
Session 14: Risk Communication and Information Dissemination
Session 15: Decision Support Systems and Emergency Operations

Day 5: Course Closure and site visit

This course emphasizes a "Tech-First" approach, blending high-level theory with heavy practical application:

• Software Sandboxes: Participants will work within pre-configured cloud environments to practice with GIS and AI tools without installation hurdles.
• Live Simulation Exercises: A "Hackathon-style" simulation where participants must process incoming digital data streams to advise "decision-makers" during a mock disaster.
• Expert Tech-Talks: Guest sessions from leading tech firms and humanitarian innovation labs.
• Laboratory-Style Learning: Step-by-step tutorials on data cleaning, coding, and dashboard building.
• Clinics & Consultations: One-on-one time with instructors to troubleshoot specific data challenges from the participants' home organizations.
• Portfolio Development: Each participant will leave with a functional digital prototype ready for implementation.

The training is designed for:

• Government officials from DRM, climate, planning, and technical agencies
• GIS and remote sensing professionals
• Disaster management practitioners
• Urban planners and infrastructure specialists
• Researchers and academics
• Development partners and NGOs
• Technology and innovation professionals working in resilience sectors

$1,550 (without accommodation)
$2,036 [with accommodation (6 nights)]

Fees are inclusive of course materials (soft copy), cost of instructions and course certificate. For face-to-face training, fee is inclusive of morning and afternoon snacks and lunch during the course.

Interested individuals and organizations can register online at www.adpc.net/apply.

For more information about the course, you may also contact ApibarlBunchongraksa at academy@adpc.net and telephone numbers +66 22980681 to 92 ext. 132.