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Catalog Description
Explore common data collection, documentation, management, and sharing practices involved in the technology sector and research and information institutions. Students will examine the human, social, and ethical impact of these practices and work on group projects to design data systems that are centered around broader impact and social responsibilities.
Instructor Description
This course will explore common data collection, management, and sharing practices involved in the technology sector and in research and information institutions. Drawing from library and archival science, computing, and Science and Technology Studies, Responsible AI,it offers a holistic view of data ecosystems and infrastructures. Students will examine the full data lifecycle, from the people who produce data, to the intermediaries who collect and document it, to the consumers who analyze and share it. Discussions center on emergent ethical issues about dataset management related to documentation, provenance, sovereignty, consent, deprecation, etc.
Students will also develop projects to review data practices, collect data, make data-driven decisions, and design data-informed systems as information and technology professionals. Projects will be tailored to students’ disciplinary background and no programming background required.
Prerequisites
Graduate standing.
Restrictions
Restricted to graduate students in the School of Information through registration periods 1 and 2. Outside students will be permitted to join our waitlists beginning in registration period 3.