Physics Department, TUM | Course 0000004570 in SS 2021

General Data

Course Type

practical training

Semester Weekly Hours

6 SWS

Organisational Unit

Informatics 4 - Chair of Software & Systems Engineering (Prof. Pretschner)

Lecturers

Tabea Schmidt
Valentin Zieglmeier
Responsible/Coordination: Alexander Pretschner

Dates

Wed, 13:00–15:00, virtuell
and 1 singular or moved dates

iCalendar

	Date and Time	Room and Remark
	Wed, 2021-04-14, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Join Zoom Meeting https://tum-conf.zoom.us/j/63289266613?pwd=b3Z2amZzU1lweE0vTkR2MWVKeFBrQT09 Meeting ID: 632 8926 6613 Passcode: 929468 One tap mobile +496971049922,,63289266613# Germany +493056795800,,63289266613# Germany
	Wed, 2021-04-21, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-04-28, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-05-05, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Optional meeting
	Wed, 2021-05-12, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-05-19, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-05-26, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Optional meeting
	Wed, 2021-06-02, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Optional meeting
	Wed, 2021-06-09, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-06-16, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
	Wed, 2021-06-23, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Optional meeting
	Wed, 2021-06-30, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc. Optional meeting
	Wed, 2021-07-07, 13:00–15:00	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.
!	Wed, 2021-07-14, 13:00–16:30	Speakers: Simon Speth M.Sc., Valentin Zieglmeier M.Sc.

Assignment to Modules

IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:
- Further Modules from Other Disciplines

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 or project lead in a team that starts to practice Inverse Transparency principles. To evaluate this new form of data privacy, we aim to "stab the hornet's nest" by specifically forcing data misuse and profiling that would be forbidden in a normal development environment but might have the potential to improve software quality and developer performance. Our goal is to find out whether these data can actually help at all or whether their use for performance assessment even makes sense in the first place. We develop a framework that, if these data are helpfufl, would enable sensible data usage while preventing or disincentivizing misusages. As a developer, you spend your semester developing advanced analysis software and generating usage data. We will use this time to improve your software development and teamwork skills. During development, you will reflect on and 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. As a project lead, you will facilitate your team's work by leading them towards developing great software. Your development effort will be reduced, instead focusing on guiding the team and improving their output. For this, you will use skill management and performance assessment tools. 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. Application ======== Please check the course website ("current information" link below) for information on how to apply.
Links	E-Learning course (e. g. Moodle) Current information TUMonline entry

additional remarks

This practical course puts you in the role of a software engineer or project lead in a team that starts to practice Inverse Transparency principles. To evaluate this new form of data privacy, we aim to "stab the hornet's nest" by specifically forcing data misuse and profiling that would be forbidden in a normal development environment but might have the potential to improve software quality and developer performance. Our goal is to find out whether these data can actually help at all or whether their use for performance assessment even makes sense in the first place. We develop a framework that, if these data are helpfufl, would enable sensible data usage while preventing or disincentivizing misusages. As a developer, you spend your semester developing advanced analysis software and generating usage data. We will use this time to improve your software development and teamwork skills. During development, you will reflect on and 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. As a project lead, you will facilitate your team's work by leading them towards developing great software. Your development effort will be reduced, instead focusing on guiding the team and improving their output. For this, you will use skill management and performance assessment tools. 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. Application ======== Please check the course website ("current information" link below) for information on how to apply.

Links

E-Learning course (e. g. Moodle)
Current information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

Semester	Title	Lecturers	Dates
SS 2020	Master Practicum: Ethically Implementing and Practicing Inverse Transparency – A new form of data privacy (IN2106, IN4277)	Kacianka, S. Zieglmeier, V. Responsible/Coordination: Pretschner, A.	Tue, 13:00–15:00, virtuell

This website is no longer updated.

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

Course 0000004570 in SS 2021

General Data

Assignment to Modules

Further Information

Equivalent Courses (e. g. in other semesters)