Research in Data Science: Data Ethics
Sciences and Mathematics, College of
Math and Computer Science, Department of
SURS Faculty Advisor
Dr. Christina Davis
We are designing a 2000-3000 level university-level course in Data Ethics. The research involves a comprehensive exploration of foundational ethical theories and frameworks relevant to the field of data science, with a focus on their application in real-world scenarios. The study delves into the following:
Thinking in scale and perspective.
Ethical Implications of data collection, analysis, & decision-making.
“Data storytelling” & the interpretation of research, data, & models.
Data privacy, security, technology, & collection.
Legal regulation & compliance.
Employers & employment.
We aim to construct a pedagogically effective curriculum that equips students with the ethical principles, decision-making tools, and industry-specific guidelines necessary for responsible data practices. This research contributes to the academic discourse on data ethics education, emphasizing the integration of theoretical insights with practical applications to prepare students for the field and spearhead competence among future data professionals.
Ahrndt, Kayla Marylena and Davis, Dr. Christina, "Research in Data Science: Data Ethics" (2023). Science University Research Symposium (SURS). 68.