Write, present, publish
Dr. Hannah Friedman, Dr. Réka Mihálka (ETH Library)
ETH Library staff
Doctoral students are expected to provide updates on their research on a regular basis. Monthly or even weekly internal meetings can require researchers to collect, coherently organise, and orally present the latest information about what they have been working on. As they advance through their doctorate, this presentation of work in progress is also required for conferences and the like. All of this takes up considerable time.
This workshop is designed to show participants how to approach oral presentations in a structured manner, so that they can clearly communicate their work in a resource efficient way. Participants will have the opportunity to experience the process of presentation planning, preparation and delivery, which should then act as a template for their future presentations to their research groups and external audiences.
The main learning goals of the workshop are
- to develop the ability to analyse one’s audience,
- to be able to select content for a presentation based on the key message to be delivered,
- to be aware of how to order one’s content on slides,
- to be able to construct a clear and succinct oral delivery.
Peer feedback: After the workshop, from 16:00 until 16:30, there will be an additional, optional 30-minute session where you can present your short presentation to a small group of peers and receive feedback. If you are interested, just stay online after the workshop!
This workshop is exclusively available to current and prospective doctoral students of ETH Zurich.
Registration
Date: Thursday 25 September 2025
Time: 14:00 - 16:00
Online (ZOOM)
Registration "A template for effective presentations": closed
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: Tuesday 18 November 2025
Time: 10:00 - 12:00
Location: RZ Building (Clausiusstrasse 59, 8092 Zurich) D 8
Discover essential tools and tips to help you in your studies.
Explore 15+ information stands and get an overview of the wide range of services offered by the ETH Library, including:
Hot topics & expert tips
- The latest developments in generative AI and how to use AI-based tools effectively
- Plagiarism prevention strategies
- Tips for scientific writing – including best practices when using scientific English
- Tools for researching information and organising literature
- Research data management
- Key facts about academic publishing
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Registration
Date: Tuesday 28 October 2025
Time: 12:00 - 15:30
Location: ETH Main Building (R?mistrasse 101, 8092 Zurich), main hall