Write, present, publish

This short seminar will provide a quick overview of some of the common challenges faced by researchers publishing their first texts in English, and how to overcome them.

We will touch on issues of content and organization as well as on tips for writing more reader friendly texts.

Registration

Date: Tuesday 3 March 2026
Time: 10:00 - 11:30
Online (ZOOM)

external page Registration "Challenges of scientific writing"

This course introduces doctoral students to AI-based tools and library resources that can support their research process.
It combines practical application of these tools with critical reflection on the role of generative AI in academic work.

Learning Objectives: Upon completion of this course, you will be able to:

  • Identify and use key library services and resources relevant for your research.
  • Select suitable AI-based tools for writing and literature search tasks.
  • Apply problem-solving strategies at different stages of your dissertation using the tools presented.
  • Critically evaluate the impact of generative AI on academic work.
  • Reflect on personal and systemic adaptation strategies in response to genAI.

Course Content: Generative AI is transforming the way we acquire and manage information. As a doctoral student, you may have been wondering how to integrate these tools into your workflow so as to comply with regulation, maximize benefits, and also ensure your long-term competence development. This course demonstrates how the ETH Library can help you in this adaptation process and in other aspects of your research.

The workshop offers input on the state of the art in AI-based tools and incorporates exercises so that you can try out these tools in your own research context. Working in groups, you can have discussions with your peers to learn about their experiences and insights. Our overview of library services will guide you further during your studies to ensure you’re equipped with all the institutional help we can offer. The session is designed to provide both immediately practical takeaways and a solution-oriented discussion of ethical issues concerning AI.

This workshop is exclusively available to current and prospective doctoral students of ETH Zurich.

Registration

Date: tba
Time: 10:00 - 12:00
Location: RZ Building (Clausiusstrasse 59, 8092 Zurich) D 8

Registration "Keep calm and use the library": closed

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