Welcome to the Bolashak Program course on Social Science Research and AI. This course examines how artificial intelligence tools can augment traditional social science research methods while maintaining rigorous academic standards.
Course Overview
This course covers:
- Introduction to AI distinctions and local AI tools (Ollama)
- Qualitative research methods with AI assistance
- Data analysis techniques using AI
- Cyber-social research approaches
- CAQDAS tools (Dedoose) for systematic analysis
- Mixed methods research design
- Academic publishing and journals
- Critical perspectives on AI and scholarship
- Generative AI capabilities and limitations
Weekly Structure
Each week combines theoretical foundations with hands-on practice using AI tools for research tasks.
Learning objectives
- Understand the capabilities and limitations of AI in social science research
- Apply qualitative and quantitative research methods with AI assistance
- Use CAQDAS tools like Dedoose for systematic data analysis
- Develop critical perspectives on AI-generated scholarship
- Practice mixed methods research design with AI augmentation
Course materials
Lecture notes and workshop materials from this course.
- Bolashak - Week 1
- Bolashak - Week 10 - Critique and Scholarship
- Bolashak - Week 11 - Generation AI
- Bolashak - Week 2 - Qualitative Research
- Bolashak - Week 3 - Data Analysis with AI
- Bolashak - Week 5 - Cyber-Social Research
- Bolashak - Week 6 - CAQDAS with Dedoose
- Bolashak - Week 8 - Mixed Methods Research
- Bolashak - Week 9 - On Journals 15Apr25
Reading list
- Qualitative Research Methods
- AI and Social Research