Ethics

Data science and machine learning technologies raise a number of ethical issues, for example, privacy, transparency, trust, algorithmic bias etc. The EPSRC CDT in Health Data Science takes ethics seriously, and Ethics and Responsible Research & Innovation is a vertical theme throughout the four years of the course. Ethics is fully embedded within the students’ training and research.

We teach students to think about the emerging ethical issues in research within the field and to be aware of research governance and security arrangements for the use of personal health data.

Our ethics training is led and delivered by our Ethics Programme co-leads, Angeliki Kerasidou and Federica Lucivero . Teaching involves a mix of lectures, problem-based learning, student-led seminars and retreats. All students are required to address the ethical issues arising in their research both throughout the course and within their doctoral dissertation.