Timetable
Workshop will be preferably 2 hours each week (7 meetings in total). The timetable will be provided at the start of semester.

Location: Collegium Geographicum, Bogumiła Krygowskiego 10, Faculty of Human Geography and Planning

Module aim (aims)
The module aims to:

1. Encourage students to integrate AI tools into their research workflows effectively.
2. Introduce students to cutting-edge AI tools and their applications in social science research.
3. Equip students with practical skills to use AI for data analysis, and visualization.
4. Foster critical thinking about the ethical implications of AI in research.

Syllabus

Topic 1: Introduction to AI tools in research: ethics and limitations

Topic 2: AI-powered literature reviews

Topic 3: Integrating ChatGPT into researcher work 

Topic 4: Text analysis with AI tools

Topic 5: Data visualization with AI tools

Topic 6: AI for survey and questionnaire design

Reading list

Bail, C. A. (2024). Can Generative AI improve social science?. Proceedings of the National Academy of Sciences, 121(21), e2314021121.

Grossmann, I., Feinberg, M., Parker, D. C., Christakis, N. A., Tetlock, P. E., & Cunningham, W. A. (2023). AI and the transformation of social science research. Science, 380(6650), 1108-1109.

Schlagwein, D., & Willcocks, L. (2023). ‘ChatGPT et al.’: The ethics of using (generative) artificial intelligence in research and science. Journal of Information Technology, 38(3), 232-238.

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304.