Social Data Science

Social Data Science is a newly formed research group focusing on the empirical, methodological, and technical dimensions of large-scale data in social contexts.

The group brings together researchers with quantitative and qualitative backgrounds from different fields to tackle emerging challenges from using unstructured heterogeneous data in social science research. Our research agenda includes but is not limited to:

• Deliver methodological innovations driven by social theory
• Provide fresh insights into new and existing questions about human and social behaviour using e.g. digital trace data
• Integrate tools from Data Science, e.g. machine learning, into Social Science research

Lead

• David Schoch