- Ashi Kapoor
Intermediate
Event organizer(s)

Description
This course is designed to highlight the critical role of Information and Communication Technology (ICT) across all phases of disaster management: mitigation, preparedness, response, and recovery. Offering a comprehensive curriculum, the course explores the Disaster Management (DM) framework, including regulatory, legal, and policy aspects that facilitate the use of technology in DM. It also examines the roles and responsibilities of various administrative bodies involved in Disaster Risk Reduction (DRR) at the national level.
Participants will learn how ICTs and other digital tools can support the implementation of Early Warning Dissemination Systems (EWDS) using the Common Alerting Protocol (CAP), and how satellite applications can enhance the effectiveness and efficiency of disaster management efforts. Through real-world case studies, the course provides actionable insights into the strategic use of ICT to strengthen disaster resilience and protect lives and property.
The target audience for this course are Telecom engineers / professionals working in the area of Disaster Management.
Bachelor’s Degree in Telecommunications/ ICT or related field with 5 years or more experience in ICT domain/ Disaster Management domain.
Prior completion of the following ITU Academy online self-paced courses is recommended:
Participants will be empowered with in-depth insights and practical skills. At the end of the training, they will be able to:
- Employ key actions towards the strategic application of ICT in all disaster management phases.
- Describe the comprehensive disaster management framework.
- Apply telecommunications technologies for robust disaster preparedness and agile response.
- Formulate Standard operating procedures (SOP) for telecommunications in disaster contexts.
- Design and deploy effective early warning systems and Priority Call Routing.
The course aims to enhance participants' capabilities in deploying ICT tools for reducing disaster risks, improving response efforts, and ultimately saving lives and properties. Through a mix of theoretical knowledge and case studies, participants will learn the importance of ICT in making disaster management efforts more efficient and effective.
The pedagogical approach encompasses:
- Expert lectures from seasoned professionals in disaster management and ICT.
- Analytical case studies on telecom measures during disasters.
- Daily quizzes to reinforce learning, culminating in a comprehensive assessment for certification.
Participants will undergo daily quizzes and a final assessment test on the last day. The quizzes will be objective, hosted on the ITU Academy Platform, with a passing threshold set at minimum 70%. The final test comprises 10 questions, with a passing mark of 70%. Out of the 10 questions 5 questions will be short answer questions of approx. 25 words and 5 questions will be long answer type of approx. 100 words each.
Activities
- End of day quizzes (4) – 35%
- Active participation in live sessions – 20%
- End of course final assessment – 45%
An overall grade of 70% is required to receive the ITU certificate of completion for this course.
25.08.2025
Session-1 (1:30 PM to 3:00 PM)
Topic: Registration, Inauguration and Introduction
[NCA-T]
Key Learning Points:
Welcome Address
Introduction of Participants
Course Brief
Inaugural Address
Session-2 (3:15 PM to 4:45 PM)
Topic: Disaster Management Framework
[By: Dr. Amir Ali Khan, NIDM]
Key Learning Points:
Examine regulatory, legal and policy frameworks that enable the use of technologies for Disaster Management. Analyze the adoption of necessary measures which address the three dimensions of disaster risk (exposure to hazards, vulnerability and capacity, and hazard's characteristics) in order to prevent the creation of new risk, reduce existing risk and increase resilience.
26.08.2025
Session-3 (1:30 PM to 3:00 PM)
Topic: Early Warning Systems, Common Alert Protocol (CAP)
[By: Stephane Gibouin, ITU]
Key Learning Points:
Analyze early warning systems which enable to effectively broadcast about upcoming disaster to the citizens of potentially affected areas.
Clarify the rationale for providing timely alerts and notifications to individuals and communities about impending disasters, allowing them to take necessary precautions and evacuate if needed.
Session-4 (3:15 PM to 4:45 PM)
Topic: Cell-broadcast technologies to deliver early warning alerts
[By: Juan Roldan, ITU]
Key Learning Points:
Evaluate actions for preparing communities psychologically and reduce panic among citizens in order to give government and other agencies a head start to implement evacuation plan seamlessly and effectively.
27.08.2025
Session-5 (1:30 PM to 3:00 PM)
Topic: ICT for Disaster Management
[By: Mr. Sanjay Agrawal, DDG-DM, DoT]
Key Learning Points:
Describe the role of telecommunication along with other modern means of communications for risk and Mitigation efforts after disaster as well as in efforts of saving lives and property. Determine actions for enabling infrastructure of telecom and their impact on the coordination and effectiveness of agencies involved in relief and rescue.
Session-6 (3:15 PM to 4:45 PM)
Topic: Data analytics for prediction of occurrence of disaster
[By: Prof (Dr.) Tanvir, FET, JMI, New Delhi]
Key Learning Points:
Explore the data analysis techniques for prediction of disaster.
28.08.2025
Session-7 (1:30 PM to 3:00 PM)
Topic: Machine learning for disaster prediction and Land Slide Early Warning Systems (LEWS)
[By: Dr. Nipun Bansal, DTU, New Delhi]
Key Learning Points:
Learning security issues in LEWS and its role in prediction of disaster in ICT ecosystem.
Session-8 (3:15 PM to 4:45 PM)
Topic: Artificial intelligence based vehicular communication for disaster management
[By: Prof (Dr.) R.S Raw, NSUT, New Delhi]
Key Learning Points:
Demonstration of vehicular communication
29.08.2025
Session-9 (1:30 PM to 3:00 PM)
Topic: Geospatial Technologies (GIS) for Disaster Management
[By: Dr. KHV Durga Rao, ISRO]
Key Learning Points:
Characterize the role of GIS in disaster management. List existing valuable tools and technologies for collecting, analyzing, and visualizing geospatial data.
Session-10 (3:15 PM to 4:45 PM)
Topic: Final knowledge assessment, Feedback and evaluation
Key Learning Points:
Final test.
Valedictory session
and feedback