Exploring AI for Science Communication

Ziele

The aims of this course are to familiarise you with the latest AI tools, teach you how to create and generate different types of science communication content using these tools, expand your creativity and explore new possibilities, and introduce you to the fundamentals of science communication.

Kursinhalte

The workshop is designed to introduce attendees to the exciting world of AI and its potential for enhancing creativity in science communication by providing hands-on experience in using AI tools and techniques to boost productivity, generate new ideas and test new forms of science communication. The workshop is suitable for anyone interested in using technology to enhance their creative process. No prior experience is required, as the class also teaches the basics of science communication. However, it is required to bring a computer, as well as a running version of chatGPT-4 or other general LLM tools.

Form

• Frontal teaching with interactive exercises
• Group work and independent work
• Discussions and presentations in front of class

Adressatinnen und Adressaten

All Doctoral Candidates & Postdocs

Informationen zu den Dozierenden

The trainer is Mirko Bischofberger, PhD, a lecturer and expert in Science Communication at EPFL, ETH Zurich and University of Zurich. He studied molecular biology and bioinformatics at ETH Zurich and holds a PhD from EPFL. After working for the Neue Zürcher Zeitung and the Swiss Parliament, he continued to the SNSF and EPFL.

Leistungsspektrum / Workload

Course attendance 16h
Project // Follow-up Work: 16h

Besonderheiten

Once registration is open, applications will be collected for 24 hours and course places allocated by lot. All registrations received after the initial 24h period will be put on a waiting list and assigned on a first come, first served basis.

Course places/places on the waiting list will be confirmed by e-mail. Course registrations can only be canceled before the registration period ends (send an e-mail to grace@unibas.ch). Full course attendance is mandatory. Participants who fail to attend a course without prior notification or withdraw after the registration deadline are subject to a fee of CHF 30. In addition, participants who cancel their course registration at a later point in time, are absent without an excuse or do not attend the entire course will, for reasons of fairness, not be considered for course registration in the following semester and will be removed from other courses offered in the same semester. Please find the detailed regulations on the Transferable Skills Homepage.