2025/2026
AI Essential Tools for Social Science Research
| Faculty | Faculty of Human Geography and Planning | 
| Semester | 2025/2026 (summer) | 
| Duration | 15 | 
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:
- Encourage students to integrate AI tools into their research workflows effectively.
 - 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.
 
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.
2024/2025
AI Essential Tools for Social Science Research
| Faculty | Faculty of Human Geography and Planning | 
| Semester | 2024/2025 (summer) | 
| Duration | 15 | 
| ECTS | 3 | 
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:
- Encourage students to integrate AI tools into their research workflows effectively.
 - 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.
 
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.