DocSchools meet GPTs in Research and Higher Education
We invite doctoral candidates from the Vienna School of Mathematics (VSM) and the Vienna Doctoral School in Physics (VDSP) as well as everyone else who is interested to join us for an interdisciplinary panel discussion on a current hot topic: GPTs in research and higher education.
In-person Event
Tuesday, 28 November 2023
ESI, Boltzmanngasse 9A, 1090 Vienna
16:30 | Entrance
17:00 | Start of the discussion
18:30 | Refreshements and informal get-together
No registration is needed for participating in this event!
This image was created with AI tools.
About the event
The impact of AI tools can be seen in various areas, whether it be science, culture, politics or communication. ChatGPT has become a frequently used resource in many people’s lives and much attention is now drawn to possibilities and obstacles of large language models. But which implications does this change have for the academic world?
In the upcoming edition of our doc.schools meet… panel discussion our invited panelists with various backgrounds will shed light on this matter with regards to GPTs in research and higher education. The panelists will discuss questions such as:
- What is the potential of GPTs in STEM Research and Higher Education?
- What are the limitations you see?
- How should we adapt our research/teaching to the recent progress in AI?
Panelists
Is a linguist focusing on legal linguistics and text linguistics, writing and communication trainer and lecturer. She co-founded the „Virtuelles Kompetenzzentrum: Künstliche Intelligenz und wissenschaftliches Arbeiten“ and is a board member of the „Gesellschaft für Schreibdidaktik und Schreibforschung e.V.“.
Works at the Max Planck Institute for the Science of Light as a group leader of the Artificial Scientist Lab. His research includes the development of AI-based tools for the design of new quantum experiments and hardware and autonomously semantic networks.
Is assistant professor for machine learning at Faculty of Mathematics of the University of Vienna. His research focuses on approximation theory, applied harmonic analysis and mathematical deep learning in applications.
Is a professor in the area of deep learning & statistical NLP, leading the WWTF Vienna Research Group for Young Investigators "Knowledge-Infused Deep Learning for Natural Language Processing". Prior to this, he was an interim professor at LMU Munich. His research interests are the extraction of knowledge from text with statistical methods and knowledge-supervised learning.
Moderated by Christoph Dellago (University of Vienna, Faculty of Physics)
Student Organizing Team:
Alexandra Edletzberger (VSM), Nikolaos Kalafatakis (VDSP), Mina Monadjem (VSM), Pietro Zito (VDSP)