You can still access the UC Berkeley Library’s services and resources during the closure. Here’s how.
Data-driven services and devices have profound consequences for how we think of ourselves, relate to one other, organize collective life, and envision desirable futures. UC Berkeley's Human Contexts and Ethics of Data course prepares students to use the tools of applied historical thinking and Science, Technology, and Society (STS) to engage as knowledgeable, skillful, and responsible citizens and professionals in the varied arenas of our datafied world.
The course meets the Human Contexts and Ethics requirement of UC Berkeley's Data Science major. It gives Data Science majors systematic exposure and reflective practice in the human choices and social structures that intrinsically shape their work as data scientists. For students who do not intend to major in Data Science, the course will jumpstart your knowledge and strengthen your capacity to take part in guiding our datafied world.
The course carries the broad, inclusive spirit of Berkeley’s Data Science curriculum into the area of human society and collective choices. It is offered in partnership with the Berkeley Division of Data Sciences.
This Library Guide is designed to organize many of the resources provided in the course, as well as aid you in your vignette and research process. On the side navigation panel, you will find a "Course Readings" page, which is organized by unit. Additionally, the "Case Studies" page links each case study from the course to the study's own page. You will find that within the case studies, there are various HCE applicable tools—these are linked to dedicated pages about individual tools! The tools can also be accessed on the side navigation panel, too.
Under the dedicated "Research Tutorials" page, the research process is organized into four stages, and each stage has relevant databases and resources that can guide your thinking.