Workshopinfo Objectives AI tools for research and writing are currently the subject of controversial debate. The developments are rapid and confusing. In addition to versatile basic tools such as ChatGPT 4o, there are now a number of AI applications that have been developed specifically for the scientific field. These include helpful tools for literature research and evaluation, for supporting feedback processes and for revising and fine-tuning texts. The workshop approaches the topic from different angles. First of all, our aim is to gain a better understanding of how language-based AI models in particular work. This is the only way to assess results correctly and critically where appropriate. Secondly, we will try out various AI tools and jointly discuss them in our group. And finally, we will reflect on the potential of AI tools as an aid in scientific research and writing, but also on what limitations there are in dealing with AI. Content Functionality of language-based generative AI models (Large Language Models) Basics of correct prompting Introduction to the use of central AI tools (including ChatGPT 4o and other LLMs, Research Rabbit, Inciteful, Scispace, deepL) Individual testing and joint reflection on the tools and their possible applications Integration of AI tools into individual workflows Language English Format of the workshop Digital Maximum number of participants 16 Work units 8 Target Group All phases of the doctoral studies Field of study Humanities, Social Sciences, Law and Economics / Geistes-, Sozial-, Rechts- und Wirtschaftswissenschaften Nature and Life Sciences / Natur- und Lebenswissenschaften Persons authorized to book PhDs Eligible to participate Berlin University Alliance (BUA) Booking status Workshop can be booked