Climate Intelligence for Humanitarian Planning Training Course

Course Overview

The Climate Intelligence for Humanitarian Planning Training Course is designed to equip humanitarian professionals, disaster risk management practitioners, government agencies, United Nations organizations, non-governmental organizations (NGOs), humanitarian coordinators, climate adaptation specialists, emergency planners, environmental officers, Geographic Information Systems (GIS) specialists, remote sensing analysts, Monitoring, Evaluation, Accountability and Learning (MEAL) professionals, humanitarian logisticians, public health experts, development practitioners, policy makers, researchers, and emergency operations managers with advanced knowledge and practical skills in applying climate intelligence to humanitarian planning and decision-making. As climate change continues to intensify floods, droughts, tropical cyclones, heatwaves, wildfires, food insecurity, disease outbreaks, displacement, and complex humanitarian emergencies, humanitarian organizations require evidence-based climate information to anticipate risks, improve preparedness, strengthen resilience, and enhance emergency response. This course provides comprehensive knowledge on climate science, climate risk assessment, climate forecasting, early warning systems, Geographic Information Systems (GIS), remote sensing, Artificial Intelligence (AI), Machine Learning, climate modeling, predictive analytics, humanitarian information management, and climate-informed operational planning that support resilient humanitarian interventions aligned with the Sustainable Development Goals (SDGs), the Sendai Framework for Disaster Risk Reduction, the Paris Agreement, and the Humanitarian-Development-Peace Nexus.

Participants will develop practical competencies in integrating climate intelligence into disaster preparedness, contingency planning, emergency operations, humanitarian logistics, food security, water resource management, public health preparedness, infrastructure planning, refugee and displacement management, livelihood recovery, environmental sustainability, and resilience programming. The course explores the use of satellite observations, remote sensing technologies, climate data platforms, seasonal forecasting, hazard mapping, vulnerability analysis, exposure assessment, geospatial intelligence, cloud computing, digital dashboards, and climate information services for operational decision-making. Through practical laboratories, GIS exercises, climate data interpretation, simulation exercises, humanitarian planning workshops, and collaborative group projects, participants will strengthen their ability to translate climate information into actionable humanitarian strategies that reduce disaster risks and improve organizational readiness.

The training further examines emerging technologies supporting climate-informed humanitarian action, including Artificial Intelligence-driven climate prediction, Machine Learning algorithms, big data analytics, Internet of Things (IoT), climate digital twins, drone-enabled environmental monitoring, predictive humanitarian analytics, impact-based forecasting, smart early warning systems, digital humanitarian platforms, and integrated climate governance. Participants will gain expertise in developing climate-informed humanitarian policies, strengthening institutional climate resilience, improving cross-sector collaboration, mainstreaming climate adaptation into humanitarian programming, and enhancing accountability to affected populations through data-driven planning. Special emphasis is placed on environmental sustainability, climate justice, gender-responsive adaptation, disability inclusion, localization, ethical data management, and responsible digital innovation.

Upon successful completion of this course, participants will be able to design, implement, and manage climate-informed humanitarian programmes that improve disaster preparedness, strengthen organizational resilience, optimize emergency response, support sustainable recovery, enhance evidence-based decision-making, and build future-ready humanitarian systems capable of responding effectively to climate-related emergencies.

Course Objectives

1. Understand climate science and climate intelligence for humanitarian planning.
2. Conduct climate risk, hazard, vulnerability, and exposure assessments.
3. Apply Geographic Information Systems (GIS) and remote sensing for climate analysis.
4. Integrate climate forecasting into humanitarian preparedness and contingency planning.
5. Utilize Artificial Intelligence and predictive analytics for climate-informed decision-making.
6. Develop climate-informed humanitarian response strategies.
7. Strengthen early warning systems and anticipatory action frameworks.
8. Improve climate-resilient humanitarian logistics and operational planning.
9. Promote organizational resilience through climate adaptation and digital innovation.
10. Develop institutional climate intelligence strategies aligned with international humanitarian standards.

Organization Benefits

1. Strengthens climate-informed humanitarian planning and preparedness.
2. Improves disaster risk reduction and anticipatory action capabilities.
3. Enhances evidence-based operational decision-making.
4. Strengthens emergency coordination through climate intelligence.
5. Improves humanitarian logistics and resource prioritization.
6. Supports climate adaptation and organizational resilience.
7. Enhances collaboration across humanitarian and climate sectors.
8. Improves programme effectiveness using predictive climate analytics.
9. Promotes innovation through Artificial Intelligence and geospatial technologies.
10. Builds future-ready organizations capable of responding to climate-induced humanitarian emergencies.

Target Participants

• Disaster Risk Management Officers
• Humanitarian Programme Managers
• Climate Change Specialists
• Environmental Officers
• Emergency Response Coordinators
• Government Disaster Management Officials
• United Nations Agency Personnel
• NGO and INGO Professionals
• Geographic Information Systems (GIS) Specialists
• Remote Sensing Analysts
• Humanitarian Logistics Officers
• Monitoring, Evaluation, Accountability and Learning (MEAL) Specialists
• Public Health Emergency Managers
• Water, Sanitation and Hygiene (WASH) Specialists
• Food Security and Livelihood Officers
• Early Warning System Managers
• Researchers and Academics
• Policy Makers
• Development Practitioners
• Emergency Operations Center Personnel

Course Outline

Module 1: Foundations of Climate Intelligence

• Climate science fundamentals
• Climate change drivers
• Humanitarian climate risks
• Climate adaptation concepts
• Climate resilience principles
• Case Study: Applying climate intelligence to humanitarian planning during prolonged drought

Module 2: Climate Risk Assessment

• Hazard identification
• Vulnerability assessment
• Exposure analysis
• Climate risk mapping
• Risk prioritization
• Case Study: Climate risk assessment for flood-prone humanitarian operations

Module 3: Climate Data and Forecasting

• Climate data sources
• Weather forecasting
• Seasonal outlooks
• Climate modeling
• Forecast interpretation
• Case Study: Using seasonal forecasts to improve humanitarian preparedness

Module 4: Geographic Information Systems and Remote Sensing

• GIS applications
• Satellite imagery
• Remote sensing techniques
• Climate mapping
• Spatial analysis
• Case Study: GIS-supported climate vulnerability mapping for humanitarian response

Module 5: Early Warning Systems and Anticipatory Action

• Early warning systems
• Impact-based forecasting
• Forecast-based financing
• Anticipatory action planning
• Community warning mechanisms
• Case Study: Early warning systems reducing disaster impacts in flood-prone communities

Module 6: Artificial Intelligence and Climate Analytics

• Artificial Intelligence applications
• Machine Learning models
• Predictive climate analytics
• Big data integration
• Decision support systems
• Case Study: AI-supported prediction of humanitarian climate risks

Module 7: Climate-Informed Humanitarian Planning

• Contingency planning
• Preparedness strategies
• Emergency planning
• Multi-hazard planning
• Operational readiness
• Case Study: Developing climate-informed contingency plans for humanitarian organizations

Module 8: Climate-Resilient Humanitarian Operations

• Climate-resilient logistics
• Infrastructure resilience
• Resource management
• Operational continuity
• Sustainable humanitarian practices
• Case Study: Integrating climate resilience into humanitarian logistics systems

Module 9: Climate Intelligence for Public Health and Food Security

• Climate-sensitive diseases
• Food security forecasting
• Water resource planning
• Nutrition risk analysis
• Public health preparedness
• Case Study: Climate intelligence supporting drought response and food security planning

Module 10: Digital Climate Intelligence Platforms

• Climate information systems
• Cloud-based dashboards
• Internet of Things (IoT)
• Drone monitoring
• Digital collaboration tools
• Case Study: Establishing integrated climate intelligence platforms for humanitarian coordination

Module 11: Governance, Policy, and Organizational Resilience

• Climate governance
• Humanitarian policy integration
• Institutional resilience
• Climate financing
• Strategic partnerships
• Case Study: Mainstreaming climate intelligence into humanitarian organizational policies

Module 12: Future Climate Intelligence for Humanitarian Action

• Emerging climate technologies
• Digital twins
• Future climate scenarios
• Artificial Intelligence innovation
• Strategic climate foresight
• Case Study: Designing a future-ready humanitarian climate intelligence framework integrating Artificial Intelligence, GIS, remote sensing, predictive analytics, climate forecasting, early warning systems, digital humanitarian platforms, organizational resilience, sustainable development, and climate-smart humanitarian planning

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of training, participants will receive a Certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
14. Website: Visit our website at www.fdc-k.org for more information.