DRE 7021 Research Ethics
This course is a one-day workshop intended to educate students about the principles of research ethics in the social sciences and issues related to research ethics. The course aims at making doctoral students conscientious about ethics and ethical principles in the social sciences, and preventing fraudulent behavior in research.
To raise awareness about good ethical practices in connection with:
1. Data collection, data management, sharing, and ownership.
2. Management of sensitive data.
3. Proper referencing of others' research.
4. Publication of research.
5. Digitalization and (international) collaboration in research.
6. Researchers in expert roles.
7. Supervisor and mentor relationships.
The course will focus on case studies of ethical problems and introducing the participants to tools that can reduce the problems. One important case study we will focus on, is Reinhart and Rogoffs controversial study of the effect of debt on economic growth.
The tools will include an introduction to software and web based solutions that make it easier to create reproducible research. This includes a brief introduction to Jupyter notebooks which can be used with Python,R and many other data analysis frameworks.
Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.
|Exam category||Weight||Invigilation||Duration||Grouping||Comment exam|
Form of assessment:
Internal examiner with external supervisor
All components must, as a main rule, be retaken during next scheduled course
|Form of assessment:||Class participation|
|Grading scale:||Point scale|
|Resit:||All components must, as a main rule, be retaken during next scheduled course|
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