Fellowship Brings Ethics Instruction to Data Science Elective

Large amounts of data pervade biomedical engineering, from imaging analysis down to systems level analysis of tissues and cells. To become competitive, undergraduates need the analytical and technical skills to handle big data, no matter which branch of BME they pursue after graduation. Assistant Professor Mete Civelek says there’s another dimension of data science that crosses scales and sub-discipline—the ethical challenges that govern the practice of biomedical data science.  Here's his plan for preparing students to tackle this equally important topic.

Dr. Civelek teaches a fourth year elective called “BME Data Science” at the University of Virginia. This fall he plans to bring ethics to the fore, with the backing of a Donchian Teaching Fellowship. The fellowship comes with a $7,000 stipend and consultation from the UVA Institute for Practical Ethics and Public Life (IPE).  The revised syllabus devotes four course periods to informed consent, data ownership, privacy and anonymity, data validity, algorithmic fairness, and societal consequences.

Theoretical discussion will equip students to develop a Code of Ethics for Data Science by the course's end. As technology grows, and as more of his students bring their ideas to emerging issues in data science, the Code of Ethics document will evolve.

Contact Mete Civelek, Assistant Professor of Biomedical Engineering and Public Health Genomics, for more information and a course syllabus.

More about the UVA Institute for Practical Ethics and Public Life (IPE), Faculty Fellowships in Ethics, and the Donchian Teaching Fellowship.