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Frontiers of Social Data Science

Key Information

Course details
Compulsory foundation course for MSc, Hilary Term
Reading list
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Professor Viktor Mayer-Schönberger


In this course, we take a look into the future, and focus on the emerging role of data by looking at specific contexts and issues. Each of these helps us to better grasp the multi-faceted nature of the evolving data age.

Learning Objectives

At the end of this course students will…

  • Have obtained an overview of the important cutting-edge and emerging topics in the context of social data science
  • Better understand the potentialities and pitfalls for society and individuals of social data science
  • Be informed about policy measures being considered in relation to social data science


  1. Data and decision-making
  2. Data and time
  3. Data and the economy
  4. Data and innovation
  5. Data and ownership
  6. Data and control
  7. Data and equity
  8. Beyond data – the essence of humanness