851-0740-00L  Big Data, Law, and Policy

SemesterSpring Semester 2019
LecturersS. Bechtold, T. Roscoe, E. Vayena
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 35

Students will be informed by 3.3.2019 at the latest.

Catalogue data

AbstractThis course introduces students to societal perspectives on the big data revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
ObjectiveThis course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of data sciences. The course will first discuss some of the methodological foundations of machine learning, followed by a discussion of research papers and real-world applications where big data and societal values may clash. Potential topics include the implications of big data for privacy, liability, insurance, health systems, voting, and democratic institutions, as well as the use of predictive algorithms for price discrimination and the criminal justice system. Guest speakers, weekly readings and reaction papers ensure a lively debate among participants from various backgrounds.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersS. Bechtold, T. Roscoe, E. Vayena
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

Main linkInformation
Only public learning materials are listed.


851-0740-00 SBig Data, Law, and Policy
Permission from lecturers required for all students.
2 hrs
Wed14-15IFW E 42 »
20.02.13-15IFW A 36 »
S. Bechtold, T. Roscoe, E. Vayena


No information on groups available.


GeneralPermission from lecturers required for all students
PlacesLimited number of places. Special selection procedure.
Waiting listuntil 03.03.2019
End of registration periodRegistration only possible until 24.02.2019

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