Models, maps and visualizations help explain a digital system by representing its elements, relationships, flows and consequences in a form that people can interpret. In IB Digital Society, this directly applies to the systems concept, especially syllabus point 2.6D, which states that models, maps and visualizations can help us understand connections within and between systems.
A model is a simplified representation of a system. It identifies the most important components and shows how they interact. For example, a model of a recommendation system might show users, collected data, an algorithm, recommended content and user responses. It does not reproduce every technical detail, but it helps reveal feedback loops: user behaviour influences recommendations, and recommendations then influence future behaviour.
A map represents relationships across physical, virtual or social space. It can show where digital infrastructure is available, how data travels across a network, or which communities are included or excluded from a service. Maps therefore help students analyse power and access, because they can make uneven distribution visible.
A visualization converts complex data into a visual form, such as a graph, flow chart, network diagram or heat map. It can reveal patterns, clusters, trends and connections that are difficult to see in a written description. However, every representation involves selection. The designer decides what to include, omit or emphasize, so a visualization is not automatically neutral or complete.
A common misconception is that a model is a perfect copy of reality. It is instead a purposeful simplification. Its value depends on the question being investigated and the quality of the data and assumptions behind it. A model can therefore expose both intended and unintended consequences within an interconnected system.
For an IB response, explain what the representation shows, identify what it leaves out, and link this to people and communities. For higher-level analysis, evaluate how the model, map or visualization shapes understanding rather than merely describing its appearance.
