Time & Venue
Thursday 2pm – 6pm (beginning on Thursday 21/02/2019).
Universität St. Gallen, Room 09-110, Dufourstrasse 50, 9000 St. Gallen.
Course Description
Predicting the behavior of complex systems (the climate, the economy, human health etc.) is a major goal of scientific practice. In this seminar, we will take a look at the historical development of predictive techniques in modern science from the late 19th century onwards with a special emphasis on the impact of computer technology in the middle of the 20th century and the recent rise of data-driven predictive technologies. Thinking about the potential and the limitations our predictive capacities will facilitate an adequate understanding of the goals and methods of modern science and technology more generally.
Course Structure
Seminar sessions are held weekly. The first two sessions will be dedicated to a general introduction into the topic. During the rest of the semester, more specific issues related to predicton (Nassim Taleb’s Black Swan theory, Philip Tetlock’s good judgment project, the (un)predictability of history) as well current examples of predictive practices (climate science, economic forecasting, predictive policing) will be discussed.
No special requirements needed. Since the course is held in English, it is expected that students are prepared to read literature in English. Plenary discussions will also be held in English. It is expected that students are willing to engage in group work. Although regular attendence is not a formal credit point requirement, active participation in the seminar sessions is strongly recommended.
Contact
Dr. Karim Bschir
karim.bschir@unisg.ch
www.karimbschir.org
Course Evaluation Results
TechnologienTechnologies__Predictive_Technologies_in_Modern_Science__From_Climate_Research_to_Economy.pdf