Wk 01. Models in Science
Lecture Date: August 21, 2023 - Monday
Lecturer: Dr. Hamdi Kavak
In this lecture, we will examine what a model is in science and why we develop models. Our discussion will be extensive, with aspects of models ranging from philosophical roots to practical implications. Finally, we will conclude the lecture by discussing why all models are assumed wrong.
Slides:
Assigned Reading:
None
Recommended Reading:
- Dhar, Vasant. “Data science and prediction.” Communications of the ACM 56.12 (2013): 64-73.
- Edmonds, B., Le Page, C., Bithell, M., Chattoe-Brown, E., Grimm, V., Meyer, R., … & Squazzoni, F. (2019). Different Modelling Purposes. Journal of Artificial Societies and Social Simulation, 22(3).
- Epstein, Joshua M. “Why model?.” Journal of Artificial Societies and Social Simulation 11.4 (2008): 12.
- Frigg, Roman, and S. Hartmann. “Models in Science.” Stanford Encyclopedia of Philosophy (2006).
- Kim, J. S., Jin, H., Kavak, H., Rouly, O. C., Crooks, A., Pfoser, D., … & Züfle, A. (2020, June). Location-based social network data generation based on patterns of life. In 2020 21st IEEE International Conference on Mobile Data Management (MDM) (pp. 158-167). IEEE.
- Rosenblueth, Arturo, and Norbert Wiener. “The role of models in science.” Philosophy of science 12.4 (1945): 316-321.
- Shmueli, Galit. “To explain or to predict?.” Statistical science 25.3 (2010): 289-310.