March 19, 2025
COMM 634 is a graduate-level course on empirical research methods in Information Systems (IS) and related fields. We explore multiple empirical research methods including machine learning, econometrics, field/lab experiments, and simulation. Topically, we review the recent AI research in IS and related fields, covering three pillars of computational design science, the economics of IS, and organizational IS.
I would like to thank the guest speakers who shared their expertise and experience with us!
- Course introduction | Three Pillars of AI Research in IS
- Computational Design Science, Speaker: Donghyuk Shin (KAIST)
- Economics of AI and IS, Speaker: J. Frank Li (UBC)
- AI and IS Strategies, Speaker: Myunghwan Lee (CUHK)
- Economics of AI and IS, Speaker: Yoonseok Son (Notre Dame)
- Field Experiment, Speaker: Dongwon Lee (HKUST)
- Lab Experiment, Speaker: Joy Wu (UBC)
- Simulation, Speaker: Timo Sturm (TU Darmstadt)
- Sustainability, Speaker: Jiyong Park (Georgia)
- Generative AI