Academic writing with generative AI

In this hands-on workshop you'll discover how to use generative AI tools for academic writing. We'll begin with an introduction to generative artificial intelligence (GenAI) and Large Language Models (LLMs), to give you a clear understanding of how these models work and what their key strengths and weaknesses are. Next, through a series of practical demonstrations and interactive exercises, you’ll learn how to apply generative AI across the main stages of academic research, from idea generation to manuscript drafting and refinement. Finally, we’ll explore strategies to deal with the key challenges of these tools, such as their tendency to generate inaccurate or misleading information and discuss strategies for using them responsibly.

Learning outcomes

After having attended this workshop, you will...

• have more insights in how generative AI can be used in the context of academic writing,
• know what tools exist, how they can be used and what the risks and opportunities are.

Competences

An important part of preparing for any further professional step is becoming (more) aware of the competences you have developed and/or want to develop. In the current workshop, the following competences from the UHasselt competency overview are actively dealt with:

• intellectual competences:
  • innovativeness
  • critical judgement
  • analytical thinking
  • conceptual/synthetic thinking
• academic research competences:
  • information management
  • publication skills

For whom?

• PhD students & postdocs
• 20 places available

When and where?

• May 27, 2026 - 09:00-13:00
  • Location: Campus Hasselt, building Old Prison, room OG-C1.1Bl

Preparation?

Please don't forget to bring your laptop to the session!

Registration?

• Register here from January 08 until April 29, 2026.
• As places are limited, registering does not automatically imply that you will be able to participate. You will be notified by email after the registration deadline has passed.
• Please cancel your registration at least one week in advance in case you cannot make it (cf. cancellation & no-show policy).

Acknowledged as?

• DS BSH: category 'research management & communication skills' - workshop on communication skills
• DS HLS: category 'transferable skills' - one transferable skills course
• DS ST: category 'scientific & generic communication' - course on scientific and generic communication