Systems thinking and modelling as a framework for sustainability analysis and action

Systems thinking is an approach that looks at problems as part of a wider, interconnected system rather than in isolation. It helps us understand how different parts of society, the environment, and the economy interact across local to global scales. This kind of thinking is important for identifying where change is possible, anticipating future developments, and supporting long-term transitions. It involves recognizing key components and patterns within a system, and using various tools - both qualitative and quantitative - to explore how these parts work together over time.

Systems thinking is the foundation of system dynamics modelling, which helps us understand and respond to complex sustainability problems. By simplifying and abstracting real-world situations, systems thinking and system dynamics modelling help us see how different parts of a system interact, and how our decisions can influence system behaviour over time. This course introduces the basic theory, tools, and techniques of systems thinking and system dynamics modelling, using real-world case studies to explore major sustainability challenges. Students will learn how to apply these approaches to better understand complex systems and identify meaningful ways to address them.

On completion of this course the students should have the following competencies defined in terms of knowledge, skills and general learning outcomes:

Knowledge

The student

• can apply and critically account for systems thinking tools;
• can carry out the system dynamics modelling process from problem definition to policy analysis.

Skills

Students can:

• critically assess various systems thinking and modelling approaches;
• use different scenario frameworks for describing existing as well as possible future system configurations and outcomes;
• use multiple criteria decision analysis in the context of sustainable development challenges.

General competence

This course has a strong focus on communication and collaboration skills. In particular, students should have the following general competences:

• critical thinking and reflection;
• solve (authentic) problems in interdisciplinary groups;
• present work (individually and in teams);
• comment on work of others and respond to comments on own work.