Generative AI in Academic Research: Considerations and Best Practices In-Person
Outcomes:
Apply GenAI tools and methods to support literature review, research infrastructure management, data collection, and analysis, ensuring efficiency, accuracy, and ethical compliance.
Use GenAI to identify research gaps, generate innovative ideas and hypotheses, and critically evaluate AI-assisted outputs for methodological soundness and originality.
Produce clear, accessible, and ethically sound research outputs for academic audience using GenAI-assisted dissemination and translation strategies.
Demonstrate awareness of the ethical, cultural, and practical considerations in implementing GenAI tools across diverse research contexts and disciplines.
Content:
1 GenAI for Literature Review
2 GenAI for Research Infrastructure
3 GenAI for Data Collection and Generation
4 GenAI for Ideation and Hypothesis Generation
5 Research Dissemination
6 Research Translation
- Date:
- 9/12/2025
- Time:
- 14:30 - 15:30
- Time Zone:
- Minsk (change)
- Presenter:
- Özer Türker
- Location:
- Classroom, Library Basement Floor
- Campus:
- Koç University, Rumeli Feneri Campus, SARIYER
- Audience:
- Bachelor Faculty Members Master PhD Researchers Staff
- Categories:
- Library Researcher Development Program
