Academics / Courses / DescriptionsCOMP_SCI 497: Data Economics
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Description
This is an advanced topics seminar that will consider theoretical topics in the space of data economics. As data science transforms science and society, it is important to develop the economics of data. Collecting data is costly, possessing data gives market power, sharing data has risks and benefits, conclusions from data depend on data quantity and quality. The readings of the course will be drawn from the recent and classic literature pertaining to data economics. Topics include: valuing data, eliciting data, incentivizing data collection and sharing, adaptive data analysis, and game theory with data.
Coursework: Students will prepare and lead discussions on the papers selected. Coursework includes a survey paper and a preliminary study for a research project.
Prerequisites: Prior Ph.D. level coursework in algorithms, microeconomics, mechanism design, data science, or econometrics - If you are interested taking this class contact CS Department for permission # - permissions@cs.northwestern.edu.
- This course fulfills the Project or Technical Elective area.
REFERENCE TEXTBOOKS: N/A
REQUIRED TEXTBOOK: N/A
COURSE COORDINATORS: Jason Hartline
COURSE INSTRUCTOR: Jason Hartline