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56589-01 - Block course: Ethical, Legal, and Societal Implications of Big Data and Data Analytics (2 CP)
| Semester | fall semester 2019 |
| Course frequency | Irregular |
| Lecturers |
Markus Krajewski (markus.krajewski@unibas.ch)
Christine Möhrke-Sobolewski (christine.moehrke-sobolewski@unibas.ch) David Shaw (david.shaw@unibas.ch) |
| Content | Methods for analyzing large volumes of data (so-called “Big Data”) and for linking existing data collections are becoming increasingly popular in a large variety of scientific disciplines. In addition to a strong research focus on the improvement of existing and the development of new methods as well as their tailored application to concrete problems, also a critical discussion on the ethical, legal, and societal implications of the application of these methods is essential. This summer school will provide insights from different disciplines onto the field of Data Analytics: • Ethical aspects such as data protection, data privacy • Legal aspects such as data ownership, personal rights, liability • Societal aspects such as acceptance of methods, chances and risks, communication to the general public The summer school will combine talks from experts in the different fields and activities of the participants (case studies, projects). |
| Learning objectives | The participants will be able to assess the ethical, legal, and societal aspects of Big Data and Data Analytics and will become familiar with the most relevant constraints and best practices in these domains. They will be prepared to participate in a more general discussion on the consequences of Big Data and Data Analytics on society, beyond mere technical aspects. |
| Bibliography | will be provided during the seminar. |
| Admission requirements | Enrollment to the PhD program Data Analytics |
| Course application | via VVonline |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Doctorate Computer Science: Recommendations (PhD subject: Computer Science) |
| Assessment format | continuous assessment |
| Assessment details | Participants will be able to apply the concepts to case studies. The assessment will be based on the active participation during the discussions and the case studies. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Informatik |