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Monitoring, Evaluation & Learning for Climate Change Projects

January 19, 2026 @ 8:00 am - January 30, 2026 @ 5:00 pm EAT

Monitoring, Evaluation & Learning for Climate Change Projects

Course Overview

Climate change Monitoring, Evaluation, Measuring, Reporting and Verification is a crucial process for tracking progress, ensuring accountability, and enabling continuous learning and adaptive management given the inherent complexities and uncertainties of climate change. It involves using specialized M&E systems, M&E plans, frameworks, indicators, and methods that go beyond traditional development M&E.

Learning Modules

The science of Climate Change

  • Understanding the science behind climate change
  • Identifying climate change vulnerability and adaptation strategies
  • Exploring climate change mitigation techniques

Climate Change Policies and Plans

  • Overview of the UNFCCC and the Paris Climate Agreement
  • Developing and implementing Nationally Determined Contributions (NDCs)
  • Formulating National Adaptation Plans (NAPs)
  • Crafting national climate strategies, policies, and plans

Foundations of Climate-Resilient Monitoring and Evaluation

  • Key concepts of resilience, vulnerability, and adaptation
  • The role of M&E in climate-smart program design
  • Risk-informed program cycles and adaptive management
  • Resilience metrics and frameworks for M&E practitioners
  • Global standards for climate-resilient evaluation

Adaptive M&E Framework Design

  • Principles of flexible and iterative evaluation systems
  • Building adaptive indicators for climate-resilient programs
  • Incorporating uncertainty and variability into M&E design
  • Scenario planning and adaptive learning mechanisms
  • Case studies of adaptive frameworks in action

Climate Change Adaptation M&E Frameworks

  • Logical Framework Analysis (LFA)
  • Conceptual Frameworks
  • Results Frameworks
  • Log Frame

Early Warning Systems and Predictive Analytics

  • Components of an early warning M&E framework
  • Predictive modeling for climate-induced risks
  • Using AI and machine learning in climate data analysis
  • Linking forecasts to adaptive programming
  • Building proactive resilience mechanisms

Data Management for M&E in Climate Change Adaptation Programs

  • Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
  • Use of different Surveys in data collection for climate change adaptation projects
  •  Participatory methods of data collection for climate change adaptation projects
  • Data analysis for climate change adaptation projects

Gender Perspective in M&E for Climate Change Adaptation Programs

  • Importance of gender in M&E
  • Integrating gender into program logic
  • Setting gender-sensitive indicators
  • Collecting gender disaggregated data
  • Analyzing M&E data from a gender perspective
  • Appraisal of projects from a gender perspective
  • Issues with integrating gender into M&E

Evaluating Climate Adaptation and Mitigation Outcomes

  • Assessing environmental sustainability and impact
  • Quantitative and qualitative indicators for resilience
  • Evaluating ecosystem-based adaptation programs
  • Capturing social and institutional resilience gains
  • Multi-criteria analysis for resilience performance

Monitoring Humanitarian and Emergency Response Programs

  • Rapid assessment tools for post-disaster M&E
  • Transitioning from relief to resilience programming
  • Evaluating response effectiveness under crisis conditions
  • Capturing lessons from emergency operations
  • Building long-term resilience from short-term interventions

Way forward After the Training

Participants will develop a work plan through the help of facilitators that stipulates application of skills acquired in improving their organizations. ASPM will monitor implementation progress after the training.

Training Evaluation

Participants will undertake a simple assessment before the training to gauge knowledge and skills and another assessment will be done after the training in-order to demonstrate knowledge gained through the training.

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January 19, 2026 @ 8:00 am - January 30, 2026 @ 5:00 pm