Included topics:
o Introduction to AI with a focus on generative AI (e.g. ChatGPT/GPT-4o)
o Ethical considerations and responsible use (e.g. data privacy, address biases, best practices)
o Guidelines from major journals and institutions on using AI tools in research and academia
o Crafting effective prompts for generative AI
o Practical applications of AI tools in research and academia, e.g.
⎯ Literature review assistance
⎯ Data analysis and interpretation
⎯ Manuscript, grant proposal and conference presentation support
⎯ Brainstorming research hypotheses
⎯ Preparing for defence or interviews
⎯ Developing training material
o Benefits and limitations of implementing AI tools in research and academia
o Future developments and possibilities

Learning objectives: At the end of the workshop, participants will be able to:
o Understand the importance of using AI in research and academia and assess the benefits and risks involved
o Craft effective prompts for their research tasks
o Develop strategies to integrate AI tools into their research workflow
o Stay informed about and adapt to new developments in the field of AI
Teaching method
The workshop combines trainer presentations and group exercises, providing a balanced learning experience. At the end of the workshop, participants will receive a list of generative AI prompts useful in research and academia.
There will be practice sessions during the workshop for which participants are required to have a computer, an internet connection and access to AI tools, particularly ChatGPT/GPT-4o. If participants do not have an account with ChatGPT/GPT-4, alternatives like Microsoft Copilot or Google Gemini could also be used.

The workshop is useful for Ph.D. candidates and early Postdocs of Natural, Life, Social Sciences and Engineering faculties at any stage of their Ph.D.