28/29 October 2025

9:00 a.m. to approx. 12:45 p.m.

Andrea Sanchini, Ph.D.

7 to 20

Online

English

Doctoral Candidates and Postdocs at the University of Rostock

Free of charge 

The rapid emergence of Artificial Intelligence (AI)-based tools has the potential to change the way researchers work in academia. However, the power and potential of AI tools, particularly generative AI, also present challenges, such as confusion regarding their responsible and ethical use and a lack of proper training for integrating them into research workflows. Addressing these challenges is crucial to ensure that researchers can fully explore the potential of AI while maintaining high ethical standards.
This workshop provides a hands-on learning experience with a focus on a wider variety of AI tools, their ethical implications and their practical applications. The aim is to facilitate the responsible and efficient use of AI tools in research and academia.

• Introduction to AI with a focus on generative AI
• Ethical considerations and responsible use (e.g. data privacy, address biases, best practices)
• Guidelines from major journals and institutions on using AI tools in research and academia
• Crafting effective prompts for generative AI
• Practical applications of AI tools in research and academia, e.g.
  • Literature review assistance
  • Data analysis and interpretation
  • Manuscript, grant proposal and conference presentation support
  • Brainstorming research hypotheses
  • Preparing for defence or interviews
  • Developing training material
• Benefits and limitations of implementing AI tools in research and academia
• Future developments and possibilities

The workshop combines trainer presentations and group exercises, providing a balanced learning experience. At the end of the workshop, participants will receive a list of generative AI prompts useful in research and academia. There will be practice sessions during the workshop for which participants are required to have a computer, an internet connection and access to at least one generative AI tool, such as the institution’s chatbot, DeepSeek, ChatGPT, Qwen, Claude, Microsoft Copilot, Google Gemini or others.

Andrea Sanchini is a trainer in scientific writing and publishing. In July 2017, he completed his own Ph.D. in Biomedical Sciences. Since May 2018, he is a certified writing trainer and coach, having completed a training at the Technische Universität Darmstadt. He has more than fifteen years of experience as a researcher in the field of Life Sciences and as such, can fully understand the needs and problems facing scientists and especially Ph.D. candidates. As a scientist, he experienced the challenges of writing and publishing journal articles with limited time and limited funding.
While enrolled in an international Ph.D. graduate school in Berlin, he had the chance to receive formal training in scientific writing and publishing. Andrea has worked in Public Health institutions and universities in Italy, France, Germany, and India. He is fluent in English and German and his native language is Italian.