This seminar deals with ethical issues that are caused by today's information society. Each participating student holds a scientific talk on one of these problems and hosts a discussion of the topic. The seminar's focus, however, lies on giving encouraging and persuasive presentations that are interesting and easy to understand. To achieve this, the participants will learn from some the best (and worst) speakers by analyzing short videos of their talks and by collaboratively developing guidelines for sticky presentations.
While developing these guidelines we identified five topics to be analyzed during each talk to provide best possible discussion potetial after the talk. These were:

(1) body language, gestures, facial expressions, posture, appearance, miseenscène, expertise, self-assurance
(2) pronunciation, talking skill, concentration, motivation, excitement
(3) contact/interaction with audience, motivation of audience, emotion, humour
(4) common thread, structure, depth, abstraction, content selection
(5) use of different media, willingness for inovation

during each talk every participant will pay special attention to one of these topics to provide constructive criticism after the talk.

Preconditions:
This course is part of the Informatik seminar program. In order to pass it, you will need to attend to the seminar presentations in PK 11.2 on January 30th at 13:15.

Topics:
The topics of this seminar include (but are not limited to) the following areas:

• Pseudonymization (e.g. AOL Data Leak)
• Deep Packet Inspection (e.g. issues with german Fernmeldegesetz), Post-Privacy, Bundestrojaner
• Boundaries of Data Mining (e.g. Massachussetts Health Records)
• Copyright Infringements (e.g. Napster, Megaupload)
• Virusses and Worms (e.g. Stuxnet), DDOS Attacks (protest or vandalism?)
• Wikileaks, Internet censorship
• Removing data from the Internet (e.g. Star-Wars Kid, Streisand-Effect)
• Cyber war (dehumanization)
• Klout score
• Anonymity on the internet, Identity theft, Cyberbullying
• Bring your own device – bring your own time?
• Profiling (e.g. location based services, digital traces)
• Digital divide