Smart Scientific Tools: AI for Writing, Literature, and Text Feedback

As a scientist, producing high-quality research outputs involves more than good data. Writing clearly, finding relevant literature efficiently, and improving your texts through feedback are essential skills—but they can also be time-consuming and frustrating. How can artificial intelligence support these tasks without compromising scientific quality, rigor, or integrity? This workshop focuses on the practical use of AI tools across the scientific workflow, including:

• AI-supported scientific writing (drafting, revising, and improving clarity)
• AI in literature search and review (finding, screening, and organizing sources)
• AI-based text feedback (style, argumentation, and coherence)
• Using AI as a sparring partner rather than an author
• Strengths and limitations of AI tools in the writing process
• Ethical considerations, transparency, and responsible AI use

My trainings are “work” shops. This means participants actively apply what they learn during the session. Throughout the workshop, we will walk through typical scientific tasks and explore where AI can be a helpful assistant—and where critical human judgment remains essential. You will test tools, refine outputs, and learn how to integrate AI into your personal research workflow in a meaningful way. Many scientists are curious about AI but unsure how to use it confidently and responsibly. My goal is to help you feel safe, competent, and in control when using AI—so that it enhances your scientific work rather than distracting from it.

About the lecturer

Carsten Rohr is a physicist and trainer. More information about Carsten.