This website is no longer updated.

As of 1.10.2022, the Faculty of Physics has been merged into the TUM School of Natural Sciences with the website https://www.nat.tum.de/. For more information read Conversion of Websites.

de | en

Master Practicum: Ethically Implementing and Practicing Inverse Transparency – A new form of data privacy (IN2106, IN4277)

Course 0000004570 in SS 2020

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 4 - Chair of Software & Systems Engineering (Prof. Pretschner)
Lecturers Severin Kacianka
Valentin Zieglmeier
Responsible/Coordination: Alexander Pretschner
Dates Tue, 13:00–15:00, virtuell

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks This practical course puts you in the role of a software engineer in a team that starts to practice Inverse Transparency principles. You start your semester by developing analysis software and generating usage data. We will use this time to improve your software development and teamwork skills. During development, you will ethically deliberate your design and implementation choices. You will have to decide which analyses are meaningful, which might not be sensible, and which should definitely not be used. ​ In the second half, you will utilize the generated data of your peers for analyses. You will assume the role of a software team lead who needs to judge their employees. Again, you will have the opportunity to discuss, which analyses you want or do not want to use for this task. This allows you to experience both sides of the data usage relationship. ​ What is Inverse Transparency? ======================= ​ Employers have significant control over the data of their employees. To protect employees, the workers' councils often completely forbid usage of individual-related data by employers. This is not a perfect solution though. On the one hand, nobody can truly verify that managers adhere to this (more often than not, they probably don't). On the other hand, interesting data usages might be prevented, even if employees are in principle okay with it. ​ Inverse Transparency is a concept that we think can help overcome these hurdles. It is based on a simple principle: All data is accessible, but all data access is transparent and visible to the data owners. This makes misusage unattractive, as it can be retraced. Valuable and interesting data usages on the other hand are enabled in a transparent way.
Links E-Learning course (e. g. Moodle)
Current information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2021 Master Practikum: Implementing and Practicing Inverse Transparency – A new form of data privacy (IN2106, IN4277) Schmidt, T. Zieglmeier, V.
Responsible/Coordination: Pretschner, A.
Wed, 13:00–15:00, virtuell
and singular or moved dates
Top of page