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Abstract
If you can't measure it, you can't manage it. Explorations into mathematical foundations and societal implications of measuring humans, processes, and things in an increasingly datafied world.
Objective
Students have a basic understanding of what makes a property quantifiable. They know the difference between operational and representational measurement, and the consequences this has for both, the collection of data and its use in decision making and control. With a critical attitude toward datafication, contextual differences are appreciated across domains such as science and engineering, business and entertainment, health and sports, governance and policy making.
Content
Measurement Theory - representations - scales and meaningfulness - direct vs. indirect - conjoint measurement Measurement Practice - units and standards - sensors and instruments - items and questionnaires - indices and datafication Measurement Politics - administration and coordination - discrimination and behavior - smart living
Resources
Lecture Notes
Slides made available in a course moodle.