Introduction to Causal Mapping

Introduction

This course offers an engaging and practical training experience. Participants will learn to understand and visualise cause-and-effect relationships, develop analytical skills, and make informed decisions.

The course covers the fundamentals of causal mapping, hands-on data analysis and advanced topics.

Led by experienced instructors, participants will gain valuable insights and practical knowledge to navigate complex systems effectively.

Course Content

1.  Understanding Causal Mapping

• 1. Definition and concept of causal mapping
• 2. Importance and applications of causal mapping
• 3. Distinctions between causal mapping and other analytical tools

2.  Foundations of Causal Mapping

• 1. Nodes and variables
• 2. Links and causal relationships
• 3. Strength and directionality of relationships

3. Data Collection and Analysis

• Identifying relevant data sources
• Conducting group workshops
• Conducting interviews and surveys
• Collecting qualitative and quantitative data
• Analysing and organising data for mapping

4.  Analysing and Interpreting Causal Maps

• 1. Structural analysis
• 2. Identifying key drivers and influences
• 3. Recognising patterns and clusters
• 4. Mapping interdependencies and feedback loops

5.  Practical Applications and Case Studies

• Real-world examples of causal mapping
• Case studies in different domains
• Practical tips for applying causal mapping in specific contexts