Human Contexts and Ethics

What do we mean by Human Contexts & Ethics?

For the undergraduate Data Science major and minor programs, students will be required to take one course from a curated list of courses that establish a human, social, and ethical context in which data analytics and computational inference play a central role.

Human Contexts and Ethics (HCE) courses equip students with an understanding of the human and social structures, formations, and practices that shape data science activity (such as data collection and analysis, data stewardship and governance, work to ensure privacy and security, deployment of data in societal or organizational settings, decision-making with data, engagements of data with justice, practices of data ethics) and to allow them to gain experience and practice with modes of critical thinking, reflection, and engagement with these experiences and the choices involved. 

HCE courses provide students access to structured forms of academic inquiry in the humanities, social sciences, or related professional fields and engage them in some form of reflective inquiry, writing, analysis, project work, or practice that surfaces questions of individual or societal choices and supports making reasoned ethical choices in complex situations.

An HCE course will be required for Data Science majors and minors.

For all domain emphases:

  • AMERSTD/AFRICAM C134. Information Technology & Society (4 units)
  • HIST C184D / STS C104. Introduction to Science, Technology, and Society: Human Contexts and Ethics of Data (4 units)
  • INFO 188. Beyond the Data: Humans and Values (3 units)
  • ISF 100J. The Social Life of Computing (4 units)
  • PHILOS 121. Moral Questions of Data Science (4 units)

For certain domain emphases, additional HCE options are available:

  • BIO ENG 100. Ethics in Science and Engineering (3 units)
  • CY PLAN 101. Introduction to Urban Data Analytics (4 units)
  • ESPM C167/PUB HLTH C160. Environmental Health and Development (4 units)