Main directions are network science and data analysis to decipher collective phenomena at biological and social scales. In particular, they  study collaborative learning and solving using network approaches on large empirical datasets. Their website 

https://interactiondatalab.com/ 

The main topics

• network analysis of organisations

• data deep analysis of various kinds (learning analytics, mobility data, city data)

• online and offline communities: online and offline living
  
  

Previous collaborators include https://interactiondatalab.com/, Correlaid, Falling Walls, CRI

Some examples of the projects:

• Falling walls Foundation 

• Dresden University Complex systems group