Admission requirements
None
Description
This course introduces students to the European and international public policies that affect data-science and AI. During the course, core concepts of regulatory governance in the EU 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 literature review that serves to develop a research proposal on a governance problem in data science.
Course objectives
At the end of the course, students are able to:
list core concepts of regulatory governance in the EU;
analyse regulary requirements in a historic, prospective and comparative ways at global level;
list basic mechanisms of changes in regulatory settings;
link the analysis of regulatory goverance to ethical considerations;
implement a literature review on an issue of regulatory compliance;
present a literature review in academic format.
Timetable
The schedule can be found on the Leiden University student website
In MyTimetable, you can find all course and programme schedules, allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally, you can easily link MyTimetable to a calendar app on your phone, and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video, read the instructions, or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Mode of instruction
Individual research and group work methods as well as instruction on general concepts.
Assessment method
Group assignments (30%): presentations in class reflecting on the literature
Individual presentation (10%): presentation of own research
Individual paper (final exam) (60%)- presentation of own research
The grade is calculated as the weighted average.
The individual paper has the possibility of a resit.
The individual paper is graded on the basis of:
use of concepts of regulatory governance in the digital domain (data science and AI) (10%);
use of comparative methods of inquiry (10%);
inclusion of relevant ethical notions (10%);
clarity of the methodology followed (particularly concerning an implementation of a literature review) (10%);
academic and professional style (10%);
relevance (10%).
Reading list
provided by the teacher
Registration
As a student, you are responsible for enrolling on time through MyStudyMap.
In this short video, you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Programme Co-ordinator: ms. Esme Caubo
Remarks
There is only limited capacity for external students. Please contact the programme Co-ordinator
Also register for every course in Brightspace. Important information about the course is posted here.
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.