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

En bæredygtig RUC-bar

This project examines the possibilities of reducing the use of single-use plastic cups in RUC-bar. With grounding in the Design Science Research realm, the project aims at creating a design solution, working within the premises of abductive logic. The exposition and analysis are structured within the design process model “The Double Diamond”, allowing for a flexible and iterative approach to problem-solving. Conclusively, the paper will present a recommendation for the chairperson of RUC-bar, encompassing the design solution and guidance thereof.

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