Introduction to AI and Academic Writing
A workshop offered by the Human Resources Development
This seminar is dedicated to the increasingly important role of Artificial Intelligence (AI) in academic research, with a particular focus on writing and literature reviews. We will explore the practical application of AI technologies specifically tailored to enhance the research and writing processes in academia. In this introductory seminar, you willgain insight into the opportunities AI offers for improving the quality and efficiency of academic writing and literature reviews. The workshop content is split into two parts, with the first covering the use of ChatGPT and prompt engineering and it’s use in academic contexts, and the second exploring other AI tools designed to assist in the research and synthesis of academic materials. We will examine both the many benefits and challenges of using AI in this context. In addition to the opportunities, we will also address the ethical considerations and risks associated with the use of AI,
including questions of copyright, data integrity, and the authenticity of academic texts. The seminar aims to equip you with practical knowledge and skills to use AI as a powerful tool in enhancing your academic writing and literature review processes. Through interactive elements, such as case studies and group discussions, you will have the opportunity to engage directly with the content and discuss individual questions. After the seminar, you will also be encouraged to explore both the discussed tools and additional ones at your own time, to decide for yourself which ones can be useful to your own research.
Online-Workshop
Thursday 3. April 2025
9:00 a.m. - 4:00 p.m.
Trainer
Dr. Dimitra Lountzi (Twentyone Skills)
Language
English
Location
Online via Zoom
Target group
PhD students | Postdocs | Established researchers
Track(s)
Research Track
Research Management Track
Certificate
Certificate of attendance
8 units are applicable within the "Doctorate plus" and "Careers plus" certificates
Content
- Recognize the benefits of AI in academic research and develop the ability to use various AI tools effectively.
- Gain an understanding of the different possibilities ChatGPT offers, focusing on how to utilize proper prompting techniques for academic writing and literature reviews.
- Learn how AI can be leveraged for brainstorming and idea generation in the context of academic writing.
- Build awareness of ethical concerns and evaluate the potential risks associated with the use of AI in the context of academic integrity and authenticity.
- Conduct critical discussions about the future role of AI in academia, particularly in enhancing writing and research processes.
Frequently asked questions
No. Human Resource Development will cover all the costs incurred.
Yes. If an event is fully booked, we will put you on the waiting list. You may then move up the list if a space becomes free with enough time still to go before the event starts.
Only some of the rooms in the “Alte Sternwarte” have barrier-free access. Should you need help getting in, please get in touch with your named contact in good time so that we can give you the support you need on the day of the event.
If you need childcare during the event, please contact the Office of Family Services at the University of Bonn.
The further training offers provided by Human Resource Development at the University of Bonn are only open to people who have signed a work contract with the University, are enrolled as a doctoral student, are conducting research on behalf of the University or are an associated member of a research consortium.
You will usually be given a certificate at all our events that confirms your attendance at the event and its content.
We are also currently developing a range of certificates for three “career tracks”: “Research,” “Research Management,” and “Business and Organizations.” More information will shortly be provided on the web page for “Postdoc plus,” which is the name of the certification program.
If the event currently being displayed counts as credit toward one of the three “tracks,” this will be indicated accordingly.
Contact
Titus Firmbach
Poppelsdorfer Allee 31-33
53115 Bonn
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Links
- https://formulare-ext.verwaltung.uni-bonn.de/lip/action/invoke.do?id=openform&form=EVT¶m1=2295&client=SPE&lang=en
- https://www.uni-bonn.de/en/university/working-at-the-university/human-resource-development/human-resource-development
- https://www.uni-bonn.de/en/research-and-teaching/doctoral-students-and-postdocs/after-your-doctoral-studies/qualification/postdoc-plus
- https://listen.uni-bonn.de/wws/subscribe/academic-career?previous_action=info