Zum Hauptinhalt springen

AI Tools – Responsible Use & Applications in Academia

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 like ChatGPT/GPT-4o also present challenges, such as confusion regarding 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.


Contents

  • Introduction to AI with a focus on generative AI (e.g. ChatGPT/GPT-4o)
  • 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.
  1. Literature review assistance
  2. Data analysis and interpretation
  3. Manuscript, grant proposal and conference presentation support
  4. Brainstorming research hypotheses
  5. Preparing for defence or interviews
  6. Developing training material
  • Benefits and limitations of implementing AI tools in research and academia
  • Future developments and possibilities
  • Learning objectives

Learning Goals

At the end of the workshop, participants will be able to:

  • Understand the importance of using AI in research and academia and assess the benefits and risks involved
  • Craft effective prompts for their research tasks
  • Develop strategies to integrate AI tools into their research workflow
  • Stay informed about and adapt to new developments in the field of AI

Methods
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 AI tools, particularly ChatGPT/GPT-4o. If participants do not have an account with ChatGPT/GPT-4, alternatives like Microsoft Copilot or Google Gemini could also be used.

Lecturers

Dr. Andrea Sanchini

Andrea Sanchini is a trainer in scientific writing and a scientist at the Robert Koch Institute in Berlin (www.rki.de/EN). In July 2017, he completed his 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 (www.owl.tu-darmstadt.de/weiterbildung/index.de.jsp). He has more than fifteen years of experience in the field of Life Sciences and as such, can fully understand the needs and problems facing Ph.D. candidates and scientists. 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. More about Andrea Sanchini: www.sanchini-writing.com

Date

Wed, Nov 12, 2025 9:00 AM - 1:00 PM
Thu, Nov 13, 2025 9:00 AM - 1:00 PM

Language

english

Target Group

Promovierende, Postdocs

Costs

PhD UP25 €
Postdoc UP/PNB*37.5 €
Partner institutions140 €
Extern170 €
Postdoc-Netzwerk Brandenburg (PNB): BTU Cottbus-Senftenberg, Europa-Universität Viadrina Frankfurt (Oder) und Filmuniversität Babelsberg KONRAD WOLF

Type of event

Online

Contact

Dr. Maja Starke-Liebe
Telefon +49 331 977-4569
wird geladen