Anbefalings systemer/modeller

YouTube has been accused of radicalizing users on their platform, through the unforeseen
consequence of the concept of the so-called filter bubbles. Through a series of experiments and case
studies, based on general implications of machine learning, black boxes and surveillance capitalism,
this research team has explored the validity of filter bubbles as a theory. By developing a model for
measuring nuttiness based on elements of structured observation, the team is able to determine the
general nut-number of any given YouTube video and measure the influence of clicks on the
recommender system

Automatisk Plante Vanding

This project aims to produce a solution to the problem surrounding the small number of young adults that buy houseplants. The conclusion for this problem came from an analytical production process, in which design theory played a key role. The project has utilized several methods of creating and constructing an analysis of the problem at hand, and several design methods to work an idea into a tangible and functional product. The analytical methods used to establish a documented understanding of the problem involve interviews, colored cognitive mapping, diffusion of innovation, as well as sever

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