The course offers an intensive exploration of AI technologies and their applications in social science research. This course bridges theoretical foundations with practical implementation, enabling researchers to leverage AI tools effectively in their scholarly work. Participants will gain a comprehensive understanding of AI architectures and master the technical fundamentals of transformer models. The course provides hands-on experience with leading AI models (including GPT-4, Claude, and open-weight alternatives), emphasizing their comparative advantages for different research tasks.
Through practical sessions, participants will learn API implementation, prompt engineering, and ethical considerations while applying these tools to real research scenarios, including interview analysis, qualitative coding, and large-scale text analysis. The course culminates in a project workshop where participants develop AI-enhanced research designs relevant to their disciplines. Ideal for researchers seeking to incorporate AI methodologies into their research workflow while maintaining methodological rigor and ethical standards.
Giga.