Admission requirements
not applicable
Description
The need for more heterogeneous data and quality data for better AI outcomes is a non-trivial issue. This is compounded by the need for control over digital data, which has become a critical societal and business concern. This course introduces students to the European and international public policies that affect data-ownership and control, data-science and AI. During the course, core concepts of regulatory governance in the EU and other jurisdictions will be introduced. The developments are looked at in a historic and comparative perspective. We consider how the European regulatory model differs from other models and how regulatory governance models relate to ethical and cultural notions. We will compare different digital governance models and look at their convergence and divergence. During the course, the students will engage with the topic of regulatory governance, by implementing a review based on an individual research question, that serves to develop a research proposal on a governance-related problems in data science.
Course objectives
At the end of the course, students are able to:
list core concepts of regulatory governance in the EU and in global context;
analyse regulatory requirements in historic and comparative ways at global level;
analyse changes in regulatory settings;
link the analysis of regulatory governance to ethical considerations;
apply regulatory governance issues to practical situations;
implement a review on an issue of regulatory compliance;
present a review in academic format.
Schedule
The timetables are available through My Timetable (see the button in the upper right corner).
Teaching method
Individual research and group work methods as well as instruction on general concepts.
Assesment method
Individual written assignments (40%)
Class presentation (10%)
Individual paper (50%)
The grade is calculated as the weighted average. The mark of the exam must be above 5.5 to pass the class.
Resit, review & feedback
The grade for the written exam should be 5.5 or higher in order to complete the course. The exam has a regular written re-sit opportunity. The weighted average grade for the practical assignments should be 5.5 or higher in order to complete the course. If one of the assignments is not submitted the grade for that assignment is 0. Each assignment has a re-sit opportunity (a later submission); the maximum grade for a re-sit assignment is 6.
Reading list
provided by the teacher
Registration
Enrolment through MyStudyMap (button in upper right corner) is mandatory. General information about course and exam enrolment is available on the website https://www.student.universiteitleiden.nl/en/your-study-programme/courses-and-exams/enrolment/leiden-university
Contact
Programme Co-ordinator: ms. Esme Caubo
Remarks
There is only limited capacity for external students. Please contact the programme Co-ordinator
Software
Starting from the 2024/2025 academic year; the Faculty of Science will use the software distribution platform Academic Software. Through this platform; you can access the software needed for specific courses in your studies. For some software; your laptop must meet certain system requirements; which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.