The series focuses on a highly topical subject: “Artificial Intelligence in Science Communication.”
The three modules of the training series explore how AI tools are transforming and supporting science communication, the opportunities they create, and the challenges that must be considered. While the events are primarily aimed at the network of contact persons, all interested parties are warmly invited to participate.
Module 1: Artificial Intelligence in Science Communication – Trends, Tools, Opportunities, and Limitations
March 5, 2025, 14:00 to 16:00 CET
In the first module, participants will learn how AI technologies are already being used in science communication today and what developments can be expected in the future. Experts will provide insights into the potential of AI – such as simplifying editorial tasks – while also addressing critical aspects like data protection, factual accuracy, and the transparency of AI systems. Discussions will center on the skills that communicators will need in the future to adapt to these changes.
Speakers: Dr Esther Greussing (TU Braunschweig) and Justus Henke (University of Halle)
Registration
Module 2: Artificial Intelligence in Science Communication – Quality Texts at the Push of a Button?
June 18, 2025, 14:00 to 16:00 CET
The second module focuses on generative AI tools for text creation, information analysis, and content presentation. How can these tools make work easier? And how can scientific accuracy and quality be ensured at the same time? Together with the participants, this module will explore how generative AI can be used effectively to support the writing and creation process – without losing sight of the added value of science communication.
Speakers: Dr Silke Fürst (Zurich University) and Dr Petra Herczeg (Vienna University)
Registration
Module 3: Artificial Intelligence in Science Communication – Visualizing Research with AI Tools
(October/November 2025)
The third module focuses on visual science communication. AI tools offer numerous possibilities here: They can make abstract research topics more tangible with images or visualize complex datasets in an understandable way. But what about the ethical and legal aspects? Who holds authorship of AI-generated content, and how should communicators handle copyright issues? This module provides practical insights into the use of AI for visual communication while addressing important media ethics questions.
Registration and Further Information
Participation in the training series is free of charge and registration forms for Module 1 and 2 are already open. The trainings will be held in German.
