COURSE DETAIL
In this course, students learn to engage with information visually. They learn to recognize and critique oversimplifying, biased, or misleading forms of visual representation, and to create their own visualizations to explore and communicate data that matters to them. Using examples from a wide range of academic disciplines - from economics, to literature, meteorology, history, urban design, or computer science - students discover key principles of visual thinking and communication and learn how to create their own charts and maps. Historically, data visualization has often been used to discriminate, control, and police. In this course, students also explore interventions by critical data scientists, scholars, and activists who visualize data to expose injustice, challenge unfair classification systems, and speak truth to power. The course does not involve any coding and does not require previous technical knowledge.