Kursbeschreibung

The use of AI tools is revolutionizing scientific work by simplifying complex tasks such as data analysis, literature evaluation or text production. This workshop provides practice-oriented insights into the use of artificial intelligence in research practice for an interdisciplinary group. The aim is to introduce participants to concrete tools and methods that support them in analyzing data, researching, reviewing and efficiently managing literature, testing hypotheses and optimizing scientific manuscripts. In addition to practical application, ethical implications and data law aspects will be discussed. The aim is to enable participants to integrate AI tools into their everyday research in a targeted and critical manner.

Learning targets:

At the end of the workshop the participants...

• know the basic functions and possible uses of AI tools such as OpenAI, DeepL Write, Scite.AI, Connected Papers and Python-based applications for the research process.
• are proficient in the use of AI-supported tools for efficient and targeted literature research and the analysis of scientific texts, for example using Semantic Scholar and Connected Papers.
• can analyse and visualize data with the help of AI-supported applications such as Orange Data Mining or Tableau and present the results clearly and comprehensibly.
• use AI-supported technologies to support the creation of scientific manuscripts, including grammar and style optimization and automated translation.
• reflect on legal and ethical challenges in dealing with AI tools, especially with regard to data protection, copyright and scientific integrity, and apply appropriate guidelines.

Target group:

Scientists and teaching staff

Organisational details:

• When you register as a mandatory participant, please note that attending the training is part of your official duties and an unexcused absence is a violation of your official responsibilities. Any further education undertaken during your working hours is subject to the prior approval of your manager.

• Access information to the course will be announced via e-mail.
• CAU-Certificates: Digital competencies for science: digital research, methods and tools
•        University Didactics: digital teaching; Digital competencies for science certificate: Digital research, methods and tools
• Fee: 250,00 €. Free for employees of CAU and PhD students who are registered within the Graduiertenzentrum.
• Deadline for registration: 11 days before the date of the course

• Further Organisational information (in German)