Future Technologies & Media (FTM)
Neu-Ulm University of Applied Sciences
February 21, 2025
You need to analyse an emerging digital technology, its characteristics, use and implications.
You can make proposals on the topic you want to work for (deadline see schedule). However, the final assignment will be made by me.
You need to do present
the characteristics of the technology (i.e., based on the characteristics discussed in lecture),
fields of applications,
the potential of the technology to transform these (benefits and risks),
as well as social and ethical implications.
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. . .
You can include grey literature1, but you need to analyze at least five (5) scientific papers.
You need to prepare and hold a presentation and to ask and answer (tough) questions in a Q&A.
Upload your presentation slides (.pptx and .pdf) via Moodle until the deadline
Use following naming scheme: FTM_ST26_Surname-Name
You will present the slides uploaded to Moodle (no late updates)
For the deadline and the presentation dates, please see the schedule
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For each presentation, one student will be assigned as Hypothesis Challenger immediately before the presentation begins.
As Hypothesis Challenger, you must develop a question during the presentation that critically examines or extends the presenter’s connection to the hypotheses discussed in class. Your question should demonstrate your understanding of both the lecture content and the presentation.
Your question should go beyond simply asking about the hypothesis connection (which the presenter should have already established). Instead, aim for one of these approaches:
Question where the presenter’s argument reaches its limits
Link the presented hypothesis connection to (another) hypothesis
Propose scenarios that would challenge the presenter’s thesis
Ask for clarification using specific terminology from the lecture
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The presentation of your findings (8-10 min., 40%)
+ the discussion (~ 10 min., 40%)
+ your question for another presentation (20%)
Grey literature includes usually not peer-reviewed material such as white papers, books, web-sources, etc.
For a more balanced discussion of quality indicators of papers see e.g., Fitzgerald et al. (2019)