The HyCCS project makes data-driven methods in communication and social sciences accessible. With innovative teaching approaches, the tidycomm R package, and open-access materials, it supports students and educators in integrating computational methods into research and teaching.
The HyCCS project provides a platform to make data-driven methods in communication and social sciences accessible and comprehensible. Through innovative teaching approaches, a custom-developed R package tidycomm, and didactic materials, HyCCS supports both Bachelor’s and Master’s students as well as educators in integrating computational methods into research and teaching.
Our focus is on bridging theory and practice: tutorials, datasets, and our custom R package simplify entry into complex analyses such as multilevel modeling or machine learning. Educators also benefit from our "Teach-the-Teacher" approach, which offers new impulses and material for teaching.
For those looking to dive into R, we recommend our Introduction to R tutorial, available here. Designed for both beginners and advanced users, it offers step-by-step guidance on mastering R for data analysis. All other materials and resources are available Open Access on our website: www.datenanalyse.ifkw.lmu.de
Research Methods | Statistical Training | Programming with R
Academic Staff
Everyday Political Conversations • Psychological Reactance • Political Participation • Social Media Challenges
Professor
Computational Communication Science • Political Communication • Computational Journalism
The project includes several research projects within LMU. That's because it's great and very interdisciplinary.