Social Studies of Data Science & Engineering

What it is about

You will learn how social, cultural and political aspects are shaped and assessed in dealing with large data sets. In the end you can place central debates on data protection, algorithms, platform policy, errors/leaks and recommendations, and apply them to practice examples using social science concepts.

What you will be able to do

• recognize the social, cultural and political dimensions of Big Data
• apply fundamental concepts and methods of reflexive analysis
• derive consequences for handling and responsibility in data operations
• transfer theoretical concepts to practice examples

What the module consists of

• SeminarReading and discussion of relevant texts, presentations and case studies; group work

Teaching method

• Seminaristische Diskussionto address literature and foster reflective skills
• Presentations and group workto analyse cases and convey results
• Wikis/Blogsfor documentation and collaborative preparation of content