AI tools for research and writing are currently the subject of controversial debates. Developments are proceeding as rapidly as they are complex. In addition to versatile basic tools such as ChatGPT or Gemini, there is now a range of AI applications specifically developed for the academic sector. These include helpful tools for literature search and analysis, support for feedback processes, as well as for editing and refining texts linguistically.
The workshop approaches the topic from various perspectives. First, we will examine how language-based AI models work in particular. Only in this way can results be properly contextualised and critically evaluated. In a second step, we will try out various AI tools and discuss our experiences with them in the group. Finally, we will reflect on the potential of AI tools as support for academic research and writing, but also on the limitations of working with AI.
Content
- How language-based generative AI models (Large Language Models) work
- Basics of correct and effective prompting
- Introduction to using key AI tools (including ChatGPT, Gemini and other LLMs, Research Rabbit, Inciteful, Scispace, NotebookLM)
- Individual testing and joint reflection on the tools and their possible areas of application
- Integration of AI tools into individual workflows
Please take 2–3 minutes to answer two questions in advance about your expectations of this workshop. Your feedback will help us tailor our offers even more closely to your needs.
Sprache: Englisch
Formats des Workshops: Digital
Maximale Teilnehmendenzahl: 16
Arbeitseinheiten: 8
Zielgruppe: Alle Phasen der Promotion
Fachrichtung: Humanities, Social Sciences, Law and Economics / Geistes-, Sozial-, Rechts- und Wirtschaftswissenschaften Nature and Life Sciences / Natur- und Lebenswissenschaften
Buchungsberechtigte Personen: Promovierende
Teilnahmeberechtigt: Berlin University Alliance (BUA)
Frist für Ausbuchung: Mi., 28.10.2026 - 23:59
Buchungsstatus: Workshop buchbar
Zeit & Ort
02.11.2026 | 09:00 - 17:00
online
