We are the Team "Transparent Social Analytics" in the CSS department at GESIS. Our mission is to make collection, preprocessing and analysis methods for digital behavioral data reusable and transparent, and to develop new computational tools for social science research.

This account contains open source tools and teaching materials created and maintained by our members. More open source tools can also be found in the GitHub repositories of individual members:

• Paul Balluff
• Arnim Bleier
• Chung-hong Chan
• Sina Chen
• Ahrabhi Kathirgamalingam
• Maximilian Linde
• Aleksandra Pawlik
• Pia Schrot
• Raniere Silva
• Jun Sun
• Christina Viehmann

Alumni:

• Julian Dehne
• Yannik Peters
• David Schoch