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College House, University way, Nairobi
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info@datastatresearch.org
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+254734969612

No of Days: 5

Price: Ksh 90000 / USD 1100

Training Course on ICT for disaster management, Nairobi and Mombasa, Kenya

In an era of increasing natural disasters and emergencies, leveraging Information and Communication Technology (ICT) is vital for efficient disaster management. From early warning systems to real-time communication during crises, ICT plays a transformative role in saving lives, reducing losses, and ensuring rapid recovery. The ICT for Disaster Management Training Course equips participants with the skills to harness technology effectively throughout the disaster management cycle.

This course offers an in-depth understanding of how ICT tools and applications can be integrated into disaster preparedness, response, recovery, and mitigation efforts. Participants will explore cutting-edge technologies such as Geographic Information Systems (GIS), remote sensing, mobile applications, and big data analytics, learning how to apply these tools in real-world scenarios.

With a blend of theoretical frameworks and practical exercises, this course focuses on building resilient communities and organizations capable of handling emergencies with precision. Participants will engage with case studies of successful ICT applications in disaster management to understand best practices and innovative solutions.

Whether you are a disaster management professional, government official, or IT specialist, this course empowers you to enhance your preparedness and response capabilities. By the end of the training, participants will be ready to implement ICT strategies that make a tangible difference in disaster management efforts.

 

Course duration

5 Days

Course Objectives

  1. Understand the role of ICT in disaster management.
  2. Learn the disaster management cycle and ICT’s contribution to each phase.
  3. Use Geographic Information Systems (GIS) and remote sensing for disaster mapping and analysis.
  4. Develop early warning systems using ICT tools.
  5. Explore the use of mobile technology and social media in disaster response.
  6. Analyze big data and cloud computing for disaster prediction and recovery.
  7. Build ICT-based systems for disaster risk reduction.
  8. Enhance real-time communication and coordination during emergencies.
  9. Understand ICT integration challenges in disaster-prone areas.
  10. Foster collaboration among stakeholders using ICT platforms.

 

Organizational Benefits

  1. Improved disaster preparedness and response strategies.
  2. Enhanced decision-making through data-driven insights.
  3. Increased efficiency in resource allocation during emergencies.
  4. Strengthened communication and coordination among teams.
  5. Reduced impact of disasters through early warnings and rapid responses.
  6. Greater compliance with international disaster management standards.
  7. Boosted organizational reputation as a leader in disaster resilience.
  8. Cost savings through efficient disaster mitigation strategies.
  9. Cultivated innovation through the adoption of advanced technologies.
  10. Empowered teams with skills to handle future emergencies effectively.

 

Target Participants

  • Disaster management professionals and coordinators.
  • IT specialists in public and private sectors.
  • Government officials involved in emergency planning.
  • Humanitarian workers and NGO staff in disaster response roles.
  • Community leaders and volunteers in disaster-prone areas.
  • Researchers and academics in disaster risk reduction.
  • Environmentalists and climate change professionals.
  • Students pursuing careers in disaster management or ICT.
  • Policy makers and advisors in disaster mitigation.
  • Media personnel focusing on emergency communication.

 

Course Outline

Module 1: Overview of ICT in Disaster Management

  • Introduction to the disaster management cycle.
  • ICT tools and their applications in disaster contexts.
  • Benefits and challenges of ICT in emergencies.
  • International frameworks for ICT in disaster management.
  • Case studies: Successful integration of ICT in disaster scenarios.

Module 2: Early Warning Systems and Risk Assessment

  • Designing and deploying early warning systems.
  • Using GIS and remote sensing for hazard identification.
  • Risk assessment and vulnerability mapping.
  • Role of drones and IoT in disaster monitoring.
  • Case studies: Early warning systems saving lives in disaster-prone areas.

Module 3: ICT in Disaster Preparedness

  • Developing ICT-enabled preparedness plans.
  • Training communities using digital platforms.
  • Enhancing public awareness through social media campaigns.
  • Building data repositories for disaster scenarios.
  • Case studies: Community preparedness through ICT interventions.

Module 4: ICT for Disaster Response

  • Real-time communication systems during emergencies.
  • Mobile technology for rapid information dissemination.
  • Role of social media in crisis management.
  • Coordination platforms for multi-agency response.
  • Case studies: ICT in coordinating disaster relief efforts.

Module 5: ICT in Recovery and Rehabilitation

  • Post-disaster damage assessment using ICT tools.
  • Data analytics for effective recovery planning.
  • Digital tools for infrastructure reconstruction.
  • Monitoring and evaluation of recovery efforts.
  • Case studies: ICT-driven recovery in disaster-affected regions.

Module 6: Innovations and Future Trends in ICT for Disaster Management

  • Emerging technologies in disaster management (e.g., AI, machine learning).
  • Blockchain for transparent disaster relief operations.
  • Cloud computing for real-time disaster analytics.
  • Cybersecurity considerations in disaster management systems.
  • Case studies: Cutting-edge ICT solutions transforming disaster resilience.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

  • Interactive lectures and presentations.
  • Group discussions and brainstorming sessions.
  • Hands-on exercises using real-world datasets.
  • Role-playing and scenario-based simulations.
  • Analysis of case studies to bridge theory and practice.
  • Peer-to-peer learning and networking.
  • Expert-led Q&A sessions.
  • Continuous feedback and personalized guidance.

 

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Schedule

No Start Date End Date Action
1. 22/09/2025 26/09/2025 Register
2. 06/10/2025 10/10/2025 Register
3. 02/06/2025 06/06/2025 Register
4. 16/06/2025 20/06/2025 Register
5. 07/07/2025 11/07/2025 Register
6. 21/07/2025 25/07/2025 Register
7. 20/01/2025 24/01/2025 Register
8. 20/10/2025 24/10/2025 Register
9. 21/04/2025 25/04/2025 Register
10. 24/03/2025 28/03/2025 Register
11. 17/02/2025 21/02/2025 Register
12. 08/09/2025 12/09/2025 Register
13. 18/08/2025 22/08/2025 Register
14. 04/08/2025 08/08/2025 Register
15. 19/05/2025 23/05/2025 Register
16. 05/05/2025 09/05/2025 Register
17. 07/04/2025 11/04/2025 Register
18. 03/03/2025 07/03/2025 Register
19. 03/02/2025 07/02/2025 Register
20. 06/01/2025 10/01/2025 Register
26. 16/12/2024 20/12/2024 Register
27. 03/11/2025 07/11/2025 Register
28. 17/11/2025 21/11/2025 Register
29. 01/12/2025 05/12/2025 Register
30. 15/12/2025 19/12/2025 Register
Get In Touch

College House , Along University Way , Nairobi, Kenya

+254724527104/ +254734969612

info@datastatresearch.org

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