Academic content is often complex, abstract, or difficult to access. Visualisations can address thisproblem by making relationships visible, structuring arguments, and communicating research in anunderstandable way.
AI-supported tools provide new opportunities to create such visualisations quickly, flexibly, and withspecific target audiences in mind.
My workshops and webinars demonstrate how AI-supported tools can be used effectively to createvisualisations for study, research, teaching, and science communication.
Participants learn about different types of visualisation and their respective functions, ranging fromdata and analytical graphics to representations of models, concepts, and processes, as well asexplanatory graphics and infographics.
They learn how to structure complex content, select appropriate forms of visual representation, andevaluate AI-generated visualisations in terms of subject-specific accuracy, comprehensibility, editability,and potential errors.
General explanations and discipline-specific input alternate with live demonstrations, tool comparisons,and practical visualisation tasks.
Participants work with realistic data and subject-specific questions. This allows them to apply what theyhave learned directly to their own teaching materials, presentations, research projects, andcommunication activities.
Participants will be able to use AI purposefully for visualisation without relinquishing subject-specificoversight, academic accuracy, or design decisions to the system.
Doctoral candidates, postdoctoral researchers, researchers, and teaching staff from all disciplines whowant to communicate academic content through clear visualisations and use AI in a well-foundedmanner.
The workshop is also suitable for Master’s students and staff working in libraries, research supportservices, and science communication, including university marketing and public relations.
- Selecting suitable forms of visualisation for academic content and different target audiences
- Translating texts, data, models, and processes into clear visual structures
- Evaluating AI-generated graphics for factual, design-related, and technical errors
- Applying an appropriate visualisation workflow to participants’ own content
Good to know
Who is this workshop for?
For doctoral researchers who want to present data, models and processes clearly, whether for publications, teaching or science communication.
What do participants take away?
They match forms of visualisation to their purpose, translate academic content into clear visual structures, and critically evaluate and revise AI-generated graphics.
How does the workshop work?
Through short subject-specific inputs, live demonstrations, image and error analyses, tool comparisons and practical visualisation tasks.
What is the added value for doctoral programmes?
The workshop supports a thoughtful combination of academic accuracy and visual clarity and makes it easier to produce materials for research, teaching and science communication.
- Supports participants in presenting complex academic content clearly and appropriately fordifferent target audiences
- Helps participants select suitable forms of visualisation and AI tools for different tasks
- Promotes a thoughtful combination of academic accuracy and visual clarity
- Facilitates the creation of materials for research, teaching, presentations, and sciencecomunication
- distinguish between different forms of visualisation and associate them with their respectivepurposes
- translate academic content into appropriate visual structures
- critically evaluate and purposefully revise AI-generated visualisations
- apply an AI-supported visualisation workflow to their own content
Der Kompaktworkshop ist flexibel in drei Längen buchbar: 90, 120 oder 180 Minuten. Die längeren Formate bieten – je nach Gruppengröße – mehr Raum für intensiven Austausch, vertiefte Reflexion sowie eine detaillierte Situationsanalyse und den Praxistransfer.
Danny Walther works as an independent lecturer at universities and research institutions. He leads workshops and webinars on the use of artificial intelligence in academia and higher education. His areas of focus include data and literature research, visualization methods, and the question of how to succeed in studying, teaching, and conducting research in the age of AI. The goal of his work is to promote a practical and scientifically sound approach to AI.
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Offene Angebote für Forschende
Du suchst nach Impulsen für Deine Forschung? Hier findest Du Workshops, Themenabende für Promovierende, meine offenen Coaching-Runden. Du findest hier auch kostenlose Angebote.
