AI for Lab Operations and Research Support

The demands of research extend far beyond experimental work. This course focuses on how AI reduces the weight of administrative responsibilities, publishing requirements, and teaching preparation. Applications include streamlining literature reviews, supporting equipment troubleshooting, drafting manuscripts, and managing reviewer feedback. Practical use cases show how AI integrates into lab administration and instruction, offering time savings while maintaining quality. Ethical considerations are also explored to ensure that AI is applied responsibly. The emphasis is on creating a more sustainable workflow that supports both scientific progress and the broader responsibilities of researchers.

Learning Objectives:

- Understand how AI can provide dramatic time savings in literature review.
- Use AI for hands-on equipment troubleshooting.
- Explore practical ways to streamline lab management and administrative tasks.
- Learn how to use AI as a tool for teaching and learning.
- Apply AI tools to draft manuscripts and address peer review comments.
- Discuss the ethical cautions and risks of using AI in research.

Topics Covered:

- Literature Review with AI
- AI for Equipment Troubleshooting
- Administrative Tasks (e.g., patent searches, writing reports)
- AI in Writing and Publishing
- Ethical Considerations of AI in Research

Key Takeaways:

- AI applications that reduce time spent on administration and publishing.
- AI support for equipment troubleshooting and teaching preparation.
- Awareness of ethical considerations in research contexts.

Prerequisites: None