General information
| Course type | AMUPIE |
| Module title | AI Essential Tools for Social Science Research |
| Language | English |
| Module lecturer | dr inż. Adam Wronkowski, dr inż. Maciej Główczyński |
| Lecturer's email | adawro@amu.edu.pl |
| Lecturer position | Assistant Professor |
| Faculty | Faculty of Human Geography and Planning |
| Semester | 2025/2026 (summer) |
| Duration | 15 |
| ECTS | 3 |
| USOS code | 26-AIETSSR-AMU-PIE |
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:
- Introduce students to cutting-edge AI tools and their applications in social science research.
- Equip students with practical skills to use AI for data analysis, and visualization.
- Foster critical thinking about the ethical implications of AI in research.
- Encourage students to integrate AI tools into their research workflows effectively.
Pre-requisites in terms of knowledge, skills and social competences (where relevant)
English language skills at a level enabling participation in discussions, presentations, workshop and reading the proposed literature. Have basic computer literacy (e.g., using software, browsing online tools).
Syllabus
Week 1: Introduction to AI tools in research: ethics and limitations
Week 2: AI-powered literature reviews
Week 3-4: Integrating ChatGPT into researcher work
Week 5: Text analysis with AI tools
Week 6: Data visualization with AI tools
Week 7: 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.