Scientific life and work have long claimed its superiority in terms of rigor, neutrality, objectivity and universality. Social scientists have demonstrated the fallacy of these claims through detailed case studies of routine laboratory work, the formatting and presenting of scientific data, the social relations outside of working hours, and the sites and locations of scientific knowledge. In this seminar we’ll draw from the social science approach to knowledge to examine a relatively new field of scientific expertise: data science and artificial intelligence, which is making incursions into almost every scientific field today. We’ll seek to demythologize this profession by looking at detailed case studies of work in practice, attending closely to how values, rules and morals guide this field and the knowledge it produces.
- Dozent/in: Siri Lamoureaux
- Dozent/in: Philipp Meinert