Design is about dealing with complex and often, in an academic sense, messy realities. To get a grip on such complexity, designers analyze, structure, simulate, and validate solutions using data analysis and models. They have a well-established base in mathematics, data analytics and logic, and identify and communicate important aspects of their design using data representations and models. They can achieve observations across individuals, time or space and can identify emerging patterns (in large data-sets) using statistical methods. They identify measurable variables that serve as input for an adequate, sufficiently simple and precise model and define if the transformed variables produce relevant, reliable and accurate output variables that satisfy the requirements of the designed application. They implement data structures and algorithms into designed products and services using data processing and computing.